Upload folder using huggingface_hub

.gitattributes

@@ -35,3 +35,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
 checkpoint-1000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 checkpoint-2000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+checkpoint-3000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+checkpoint-4000/tokenizer.json filter=lfs diff=lfs merge=lfs -text

checkpoint-3000/README.md

@@ -0,0 +1,202 @@
+---
+base_model: unsloth/Qwen3-8B-Base
+library_name: peft
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.15.2

checkpoint-3000/adapter_config.json

@@ -0,0 +1,42 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "unsloth/Qwen3-8B-Base",
+  "bias": "none",
+  "corda_config": null,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": [
+    "lm_head",
+    "embed_tokens"
+  ],
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "down_proj",
+    "gate_proj",
+    "k_proj",
+    "o_proj",
+    "q_proj",
+    "v_proj",
+    "up_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_rslora": false
+}

checkpoint-3000/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ec14045849f61a7695bb2723ecbcec6df4f3e538c6e923ca41651543bad35c19
+size 2838563408

checkpoint-3000/added_tokens.json

@@ -0,0 +1,28 @@
+{
+  "</think>": 151668,
+  "</tool_call>": 151658,
+  "</tool_response>": 151666,
+  "<think>": 151667,
+  "<tool_call>": 151657,
+  "<tool_response>": 151665,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

checkpoint-3000/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ec9827395f6daf283e7b464c5b69ce97a1083d7b73f0b8659ba41e2d22875830
+size 2706136909

checkpoint-3000/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:250560ab3d528161ab3659b120def6e4a9ab4b457e3399603bbcfa40db3efc90
+size 14645

checkpoint-3000/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1627a706fb001f4fc7a14e836b88e68df7a8cbe9b615a45094a5d9f7b120e41d
+size 1465

checkpoint-3000/special_tokens_map.json

@@ -0,0 +1,31 @@
+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|vision_pad|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

checkpoint-3000/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
+size 11422654

checkpoint-3000/tokenizer_config.json

@@ -0,0 +1,241 @@
+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151646": {
+      "content": "<|object_ref_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151647": {
+      "content": "<|object_ref_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151648": {
+      "content": "<|box_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151649": {
+      "content": "<|box_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151650": {
+      "content": "<|quad_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151651": {
+      "content": "<|quad_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151652": {
+      "content": "<|vision_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151653": {
+      "content": "<|vision_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151654": {
+      "content": "<|vision_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151655": {
+      "content": "<|image_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151656": {
+      "content": "<|video_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151657": {
+      "content": "<tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151658": {
+      "content": "</tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151659": {
+      "content": "<|fim_prefix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151660": {
+      "content": "<|fim_middle|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151661": {
+      "content": "<|fim_suffix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151662": {
+      "content": "<|fim_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151663": {
+      "content": "<|repo_name|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151664": {
+      "content": "<|file_sep|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151665": {
+      "content": "<tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151666": {
+      "content": "</tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151667": {
+      "content": "<think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151668": {
+      "content": "</think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "bos_token": null,
+  "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0].role == 'system' %}\n        {{- messages[0].content + '\\n\\n' }}\n    {%- endif %}\n    {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0].role == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n    {%- set index = (messages|length - 1) - loop.index0 %}\n    {%- if ns.multi_step_tool and message.role == \"user\" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n        {%- set ns.multi_step_tool = false %}\n        {%- set ns.last_query_index = index %}\n    {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {%- set content = message.content %}\n        {%- set reasoning_content = '' %}\n        {%- if message.reasoning_content is defined and message.reasoning_content is not none %}\n            {%- set reasoning_content = message.reasoning_content %}\n        {%- else %}\n            {%- if '</think>' in message.content %}\n                {%- set content = message.content.split('</think>')[-1].lstrip('\\n') %}\n                {%- set reasoning_content = message.content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n            {%- endif %}\n        {%- endif %}\n        {%- if loop.index0 > ns.last_query_index %}\n            {%- if loop.last or (not loop.last and reasoning_content) %}\n                {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n            {%- else %}\n                {{- '<|im_start|>' + message.role + '\\n' + content }}\n            {%- endif %}\n        {%- else %}\n            {{- '<|im_start|>' + message.role + '\\n' + content }}\n        {%- endif %}\n        {%- if message.tool_calls %}\n            {%- for tool_call in message.tool_calls %}\n                {%- if (loop.first and content) or (not loop.first) %}\n                    {{- '\\n' }}\n                {%- endif %}\n                {%- if tool_call.function %}\n                    {%- set tool_call = tool_call.function %}\n                {%- endif %}\n                {{- '<tool_call>\\n{\"name\": \"' }}\n                {{- tool_call.name }}\n                {{- '\", \"arguments\": ' }}\n                {%- if tool_call.arguments is string %}\n                    {{- tool_call.arguments }}\n                {%- else %}\n                    {{- tool_call.arguments | tojson }}\n                {%- endif %}\n                {{- '}\\n</tool_call>' }}\n            {%- endfor %}\n        {%- endif %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n    {%- if enable_thinking is defined and enable_thinking is false %}\n        {{- '<think>\\n\\n</think>\\n\\n' }}\n    {%- endif %}\n{%- endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 32768,
+  "pad_token": "<|vision_pad|>",
+  "padding_side": "right",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

checkpoint-3000/trainer_state.json

@@ -0,0 +1,874 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.4433473649695545,
+  "eval_steps": 500,
+  "global_step": 3000,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.0036945613747462877,
+      "grad_norm": 2.2292165756225586,
+      "learning_rate": 5.911330049261084e-06,
+      "loss": 0.9395,
+      "step": 25
+    },
+    {
+      "epoch": 0.007389122749492575,
+      "grad_norm": 0.8381065130233765,
+      "learning_rate": 1.206896551724138e-05,
+      "loss": 0.89,
+      "step": 50
+    },
+    {
+      "epoch": 0.011083684124238862,
+      "grad_norm": 0.9238471984863281,
+      "learning_rate": 1.8226600985221676e-05,
+      "loss": 0.8384,
+      "step": 75
+    },
+    {
+      "epoch": 0.01477824549898515,
+      "grad_norm": 0.6837311387062073,
+      "learning_rate": 2.438423645320197e-05,
+      "loss": 0.784,
+      "step": 100
+    },
+    {
+      "epoch": 0.01847280687373144,
+      "grad_norm": 0.7093706727027893,
+      "learning_rate": 3.0541871921182266e-05,
+      "loss": 0.7675,
+      "step": 125
+    },
+    {
+      "epoch": 0.022167368248477724,
+      "grad_norm": 0.6208077073097229,
+      "learning_rate": 3.669950738916256e-05,
+      "loss": 0.7466,
+      "step": 150
+    },
+    {
+      "epoch": 0.025861929623224013,
+      "grad_norm": 0.8929094076156616,
+      "learning_rate": 4.2857142857142856e-05,
+      "loss": 0.7386,
+      "step": 175
+    },
+    {
+      "epoch": 0.0295564909979703,
+      "grad_norm": 0.7828120589256287,
+      "learning_rate": 4.901477832512316e-05,
+      "loss": 0.7173,
+      "step": 200
+    },
+    {
+      "epoch": 0.03325105237271659,
+      "grad_norm": 0.7134449481964111,
+      "learning_rate": 5.517241379310345e-05,
+      "loss": 0.7108,
+      "step": 225
+    },
+    {
+      "epoch": 0.03694561374746288,
+      "grad_norm": 0.7464851140975952,
+      "learning_rate": 6.133004926108375e-05,
+      "loss": 0.7332,
+      "step": 250
+    },
+    {
+      "epoch": 0.04064017512220916,
+      "grad_norm": 0.677793025970459,
+      "learning_rate": 6.748768472906404e-05,
+      "loss": 0.7194,
+      "step": 275
+    },
+    {
+      "epoch": 0.04433473649695545,
+      "grad_norm": 0.7936354875564575,
+      "learning_rate": 7.364532019704434e-05,
+      "loss": 0.7253,
+      "step": 300
+    },
+    {
+      "epoch": 0.04802929787170174,
+      "grad_norm": 0.6711100935935974,
+      "learning_rate": 7.980295566502463e-05,
+      "loss": 0.7018,
+      "step": 325
+    },
+    {
+      "epoch": 0.051723859246448026,
+      "grad_norm": 0.5816489458084106,
+      "learning_rate": 8.596059113300493e-05,
+      "loss": 0.7298,
+      "step": 350
+    },
+    {
+      "epoch": 0.055418420621194314,
+      "grad_norm": 0.6680681705474854,
+      "learning_rate": 9.211822660098522e-05,
+      "loss": 0.7149,
+      "step": 375
+    },
+    {
+      "epoch": 0.0591129819959406,
+      "grad_norm": 0.5643934607505798,
+      "learning_rate": 9.827586206896552e-05,
+      "loss": 0.763,
+      "step": 400
+    },
+    {
+      "epoch": 0.06280754337068689,
+      "grad_norm": 0.5739309191703796,
+      "learning_rate": 9.986286759104069e-05,
+      "loss": 0.7345,
+      "step": 425
+    },
+    {
+      "epoch": 0.06650210474543318,
+      "grad_norm": 0.5929909944534302,
+      "learning_rate": 9.967240591193052e-05,
+      "loss": 0.7364,
+      "step": 450
+    },
+    {
+      "epoch": 0.07019666612017947,
+      "grad_norm": 0.609235405921936,
+      "learning_rate": 9.948194423282036e-05,
+      "loss": 0.7294,
+      "step": 475
+    },
+    {
+      "epoch": 0.07389122749492576,
+      "grad_norm": 0.4643324613571167,
+      "learning_rate": 9.92914825537102e-05,
+      "loss": 0.7344,
+      "step": 500
+    },
+    {
+      "epoch": 0.07758578886967203,
+      "grad_norm": 0.5267598032951355,
+      "learning_rate": 9.910102087460003e-05,
+      "loss": 0.7249,
+      "step": 525
+    },
+    {
+      "epoch": 0.08128035024441832,
+      "grad_norm": 0.47951069474220276,
+      "learning_rate": 9.891055919548987e-05,
+      "loss": 0.7256,
+      "step": 550
+    },
+    {
+      "epoch": 0.08497491161916461,
+      "grad_norm": 0.4505012333393097,
+      "learning_rate": 9.87200975163797e-05,
+      "loss": 0.7359,
+      "step": 575
+    },
+    {
+      "epoch": 0.0886694729939109,
+      "grad_norm": 0.5320091247558594,
+      "learning_rate": 9.852963583726955e-05,
+      "loss": 0.6856,
+      "step": 600
+    },
+    {
+      "epoch": 0.09236403436865719,
+      "grad_norm": 0.5583036541938782,
+      "learning_rate": 9.833917415815939e-05,
+      "loss": 0.7235,
+      "step": 625
+    },
+    {
+      "epoch": 0.09605859574340347,
+      "grad_norm": 0.5139252543449402,
+      "learning_rate": 9.814871247904922e-05,
+      "loss": 0.7272,
+      "step": 650
+    },
+    {
+      "epoch": 0.09975315711814976,
+      "grad_norm": 0.4989326000213623,
+      "learning_rate": 9.795825079993906e-05,
+      "loss": 0.6952,
+      "step": 675
+    },
+    {
+      "epoch": 0.10344771849289605,
+      "grad_norm": 0.47355732321739197,
+      "learning_rate": 9.776778912082889e-05,
+      "loss": 0.7266,
+      "step": 700
+    },
+    {
+      "epoch": 0.10714227986764234,
+      "grad_norm": 0.3588508367538452,
+      "learning_rate": 9.757732744171874e-05,
+      "loss": 0.7406,
+      "step": 725
+    },
+    {
+      "epoch": 0.11083684124238863,
+      "grad_norm": 0.4120556712150574,
+      "learning_rate": 9.738686576260857e-05,
+      "loss": 0.7443,
+      "step": 750
+    },
+    {
+      "epoch": 0.11453140261713492,
+      "grad_norm": 0.5160555839538574,
+      "learning_rate": 9.71964040834984e-05,
+      "loss": 0.7134,
+      "step": 775
+    },
+    {
+      "epoch": 0.1182259639918812,
+      "grad_norm": 0.5423145890235901,
+      "learning_rate": 9.700594240438823e-05,
+      "loss": 0.7289,
+      "step": 800
+    },
+    {
+      "epoch": 0.1219205253666275,
+      "grad_norm": 0.5352346301078796,
+      "learning_rate": 9.681548072527808e-05,
+      "loss": 0.7144,
+      "step": 825
+    },
+    {
+      "epoch": 0.12561508674137378,
+      "grad_norm": 0.47908860445022583,
+      "learning_rate": 9.662501904616791e-05,
+      "loss": 0.7175,
+      "step": 850
+    },
+    {
+      "epoch": 0.12930964811612006,
+      "grad_norm": 0.47986069321632385,
+      "learning_rate": 9.643455736705776e-05,
+      "loss": 0.6983,
+      "step": 875
+    },
+    {
+      "epoch": 0.13300420949086636,
+      "grad_norm": 0.6903620958328247,
+      "learning_rate": 9.624409568794759e-05,
+      "loss": 0.7086,
+      "step": 900
+    },
+    {
+      "epoch": 0.13669877086561263,
+      "grad_norm": 0.44413208961486816,
+      "learning_rate": 9.605363400883742e-05,
+      "loss": 0.7306,
+      "step": 925
+    },
+    {
+      "epoch": 0.14039333224035894,
+      "grad_norm": 0.4634678065776825,
+      "learning_rate": 9.586317232972727e-05,
+      "loss": 0.7061,
+      "step": 950
+    },
+    {
+      "epoch": 0.1440878936151052,
+      "grad_norm": 0.5110129714012146,
+      "learning_rate": 9.56727106506171e-05,
+      "loss": 0.7406,
+      "step": 975
+    },
+    {
+      "epoch": 0.1477824549898515,
+      "grad_norm": 0.5460866093635559,
+      "learning_rate": 9.548224897150694e-05,
+      "loss": 0.721,
+      "step": 1000
+    },
+    {
+      "epoch": 0.1514770163645978,
+      "grad_norm": 0.5179885029792786,
+      "learning_rate": 9.529178729239677e-05,
+      "loss": 0.7068,
+      "step": 1025
+    },
+    {
+      "epoch": 0.15517157773934406,
+      "grad_norm": 0.40280836820602417,
+      "learning_rate": 9.51013256132866e-05,
+      "loss": 0.7009,
+      "step": 1050
+    },
+    {
+      "epoch": 0.15886613911409037,
+      "grad_norm": 1.2706756591796875,
+      "learning_rate": 9.491086393417645e-05,
+      "loss": 0.7125,
+      "step": 1075
+    },
+    {
+      "epoch": 0.16256070048883664,
+      "grad_norm": 0.4963163435459137,
+      "learning_rate": 9.47204022550663e-05,
+      "loss": 0.7149,
+      "step": 1100
+    },
+    {
+      "epoch": 0.16625526186358294,
+      "grad_norm": 0.5147728323936462,
+      "learning_rate": 9.452994057595613e-05,
+      "loss": 0.7245,
+      "step": 1125
+    },
+    {
+      "epoch": 0.16994982323832922,
+      "grad_norm": 0.5933899879455566,
+      "learning_rate": 9.433947889684596e-05,
+      "loss": 0.7261,
+      "step": 1150
+    },
+    {
+      "epoch": 0.17364438461307552,
+      "grad_norm": 0.4750466048717499,
+      "learning_rate": 9.414901721773579e-05,
+      "loss": 0.7206,
+      "step": 1175
+    },
+    {
+      "epoch": 0.1773389459878218,
+      "grad_norm": 0.46546968817710876,
+      "learning_rate": 9.395855553862564e-05,
+      "loss": 0.7121,
+      "step": 1200
+    },
+    {
+      "epoch": 0.1810335073625681,
+      "grad_norm": 0.6512172818183899,
+      "learning_rate": 9.376809385951547e-05,
+      "loss": 0.7212,
+      "step": 1225
+    },
+    {
+      "epoch": 0.18472806873731437,
+      "grad_norm": 0.34932607412338257,
+      "learning_rate": 9.35776321804053e-05,
+      "loss": 0.704,
+      "step": 1250
+    },
+    {
+      "epoch": 0.18842263011206067,
+      "grad_norm": 0.4648846983909607,
+      "learning_rate": 9.338717050129514e-05,
+      "loss": 0.7419,
+      "step": 1275
+    },
+    {
+      "epoch": 0.19211719148680695,
+      "grad_norm": 0.4566064774990082,
+      "learning_rate": 9.319670882218498e-05,
+      "loss": 0.7318,
+      "step": 1300
+    },
+    {
+      "epoch": 0.19581175286155325,
+      "grad_norm": 0.5357668399810791,
+      "learning_rate": 9.300624714307481e-05,
+      "loss": 0.6973,
+      "step": 1325
+    },
+    {
+      "epoch": 0.19950631423629953,
+      "grad_norm": 0.4423241913318634,
+      "learning_rate": 9.281578546396466e-05,
+      "loss": 0.7298,
+      "step": 1350
+    },
+    {
+      "epoch": 0.20320087561104583,
+      "grad_norm": 0.4530033767223358,
+      "learning_rate": 9.26253237848545e-05,
+      "loss": 0.7161,
+      "step": 1375
+    },
+    {
+      "epoch": 0.2068954369857921,
+      "grad_norm": 0.4678841233253479,
+      "learning_rate": 9.243486210574433e-05,
+      "loss": 0.6972,
+      "step": 1400
+    },
+    {
+      "epoch": 0.21058999836053838,
+      "grad_norm": 0.6039907336235046,
+      "learning_rate": 9.224440042663417e-05,
+      "loss": 0.7165,
+      "step": 1425
+    },
+    {
+      "epoch": 0.21428455973528468,
+      "grad_norm": 0.4463271498680115,
+      "learning_rate": 9.2053938747524e-05,
+      "loss": 0.6863,
+      "step": 1450
+    },
+    {
+      "epoch": 0.21797912111003095,
+      "grad_norm": 0.5739301443099976,
+      "learning_rate": 9.186347706841384e-05,
+      "loss": 0.6907,
+      "step": 1475
+    },
+    {
+      "epoch": 0.22167368248477726,
+      "grad_norm": 0.4577805697917938,
+      "learning_rate": 9.167301538930367e-05,
+      "loss": 0.7114,
+      "step": 1500
+    },
+    {
+      "epoch": 0.22536824385952353,
+      "grad_norm": 0.4522150158882141,
+      "learning_rate": 9.14825537101935e-05,
+      "loss": 0.6877,
+      "step": 1525
+    },
+    {
+      "epoch": 0.22906280523426983,
+      "grad_norm": 0.49612903594970703,
+      "learning_rate": 9.129209203108335e-05,
+      "loss": 0.7112,
+      "step": 1550
+    },
+    {
+      "epoch": 0.2327573666090161,
+      "grad_norm": 0.4710284471511841,
+      "learning_rate": 9.11016303519732e-05,
+      "loss": 0.7062,
+      "step": 1575
+    },
+    {
+      "epoch": 0.2364519279837624,
+      "grad_norm": 0.5009223818778992,
+      "learning_rate": 9.091116867286303e-05,
+      "loss": 0.7275,
+      "step": 1600
+    },
+    {
+      "epoch": 0.24014648935850869,
+      "grad_norm": 0.5547946691513062,
+      "learning_rate": 9.072070699375286e-05,
+      "loss": 0.6993,
+      "step": 1625
+    },
+    {
+      "epoch": 0.243841050733255,
+      "grad_norm": 0.4580361843109131,
+      "learning_rate": 9.05302453146427e-05,
+      "loss": 0.7106,
+      "step": 1650
+    },
+    {
+      "epoch": 0.24753561210800126,
+      "grad_norm": 0.4767173230648041,
+      "learning_rate": 9.033978363553254e-05,
+      "loss": 0.7103,
+      "step": 1675
+    },
+    {
+      "epoch": 0.25123017348274757,
+      "grad_norm": 0.502202570438385,
+      "learning_rate": 9.014932195642237e-05,
+      "loss": 0.6921,
+      "step": 1700
+    },
+    {
+      "epoch": 0.25492473485749384,
+      "grad_norm": 0.5283953547477722,
+      "learning_rate": 8.99588602773122e-05,
+      "loss": 0.7077,
+      "step": 1725
+    },
+    {
+      "epoch": 0.2586192962322401,
+      "grad_norm": 0.4994209408760071,
+      "learning_rate": 8.976839859820204e-05,
+      "loss": 0.7,
+      "step": 1750
+    },
+    {
+      "epoch": 0.2623138576069864,
+      "grad_norm": 0.48279210925102234,
+      "learning_rate": 8.957793691909188e-05,
+      "loss": 0.7114,
+      "step": 1775
+    },
+    {
+      "epoch": 0.2660084189817327,
+      "grad_norm": 0.6055914759635925,
+      "learning_rate": 8.938747523998172e-05,
+      "loss": 0.7081,
+      "step": 1800
+    },
+    {
+      "epoch": 0.269702980356479,
+      "grad_norm": 0.489519327878952,
+      "learning_rate": 8.919701356087156e-05,
+      "loss": 0.6946,
+      "step": 1825
+    },
+    {
+      "epoch": 0.27339754173122527,
+      "grad_norm": 0.5379961133003235,
+      "learning_rate": 8.90065518817614e-05,
+      "loss": 0.6996,
+      "step": 1850
+    },
+    {
+      "epoch": 0.27709210310597154,
+      "grad_norm": 0.47824332118034363,
+      "learning_rate": 8.881609020265123e-05,
+      "loss": 0.6881,
+      "step": 1875
+    },
+    {
+      "epoch": 0.2807866644807179,
+      "grad_norm": 1551.0594482421875,
+      "learning_rate": 8.862562852354107e-05,
+      "loss": 0.6998,
+      "step": 1900
+    },
+    {
+      "epoch": 0.28448122585546415,
+      "grad_norm": 0.4107681214809418,
+      "learning_rate": 8.84351668444309e-05,
+      "loss": 0.7088,
+      "step": 1925
+    },
+    {
+      "epoch": 0.2881757872302104,
+      "grad_norm": 0.4558309316635132,
+      "learning_rate": 8.824470516532074e-05,
+      "loss": 0.712,
+      "step": 1950
+    },
+    {
+      "epoch": 0.2918703486049567,
+      "grad_norm": 0.539107620716095,
+      "learning_rate": 8.805424348621057e-05,
+      "loss": 0.7159,
+      "step": 1975
+    },
+    {
+      "epoch": 0.295564909979703,
+      "grad_norm": 0.5768142938613892,
+      "learning_rate": 8.786378180710042e-05,
+      "loss": 0.7072,
+      "step": 2000
+    },
+    {
+      "epoch": 0.2992594713544493,
+      "grad_norm": 0.5575465559959412,
+      "learning_rate": 8.767332012799025e-05,
+      "loss": 0.7118,
+      "step": 2025
+    },
+    {
+      "epoch": 0.3029540327291956,
+      "grad_norm": 0.5190144181251526,
+      "learning_rate": 8.748285844888008e-05,
+      "loss": 0.7099,
+      "step": 2050
+    },
+    {
+      "epoch": 0.30664859410394185,
+      "grad_norm": 0.4934520125389099,
+      "learning_rate": 8.729239676976993e-05,
+      "loss": 0.692,
+      "step": 2075
+    },
+    {
+      "epoch": 0.3103431554786881,
+      "grad_norm": 0.42613571882247925,
+      "learning_rate": 8.710193509065976e-05,
+      "loss": 0.7277,
+      "step": 2100
+    },
+    {
+      "epoch": 0.31403771685343446,
+      "grad_norm": 0.5124602317810059,
+      "learning_rate": 8.691147341154961e-05,
+      "loss": 0.6801,
+      "step": 2125
+    },
+    {
+      "epoch": 0.31773227822818073,
+      "grad_norm": 0.5284898281097412,
+      "learning_rate": 8.672101173243944e-05,
+      "loss": 0.7103,
+      "step": 2150
+    },
+    {
+      "epoch": 0.321426839602927,
+      "grad_norm": 0.43099457025527954,
+      "learning_rate": 8.653055005332927e-05,
+      "loss": 0.7023,
+      "step": 2175
+    },
+    {
+      "epoch": 0.3251214009776733,
+      "grad_norm": 0.5190865993499756,
+      "learning_rate": 8.63400883742191e-05,
+      "loss": 0.7144,
+      "step": 2200
+    },
+    {
+      "epoch": 0.3288159623524196,
+      "grad_norm": 0.4722968637943268,
+      "learning_rate": 8.614962669510895e-05,
+      "loss": 0.7351,
+      "step": 2225
+    },
+    {
+      "epoch": 0.3325105237271659,
+      "grad_norm": 0.6091466546058655,
+      "learning_rate": 8.595916501599878e-05,
+      "loss": 0.7062,
+      "step": 2250
+    },
+    {
+      "epoch": 0.33620508510191216,
+      "grad_norm": 0.6135897040367126,
+      "learning_rate": 8.576870333688862e-05,
+      "loss": 0.7117,
+      "step": 2275
+    },
+    {
+      "epoch": 0.33989964647665843,
+      "grad_norm": 0.5224157571792603,
+      "learning_rate": 8.557824165777846e-05,
+      "loss": 0.7068,
+      "step": 2300
+    },
+    {
+      "epoch": 0.34359420785140476,
+      "grad_norm": 0.4863536059856415,
+      "learning_rate": 8.53877799786683e-05,
+      "loss": 0.6952,
+      "step": 2325
+    },
+    {
+      "epoch": 0.34728876922615104,
+      "grad_norm": 0.4728885889053345,
+      "learning_rate": 8.519731829955814e-05,
+      "loss": 0.7289,
+      "step": 2350
+    },
+    {
+      "epoch": 0.3509833306008973,
+      "grad_norm": 0.5152695775032043,
+      "learning_rate": 8.500685662044798e-05,
+      "loss": 0.6986,
+      "step": 2375
+    },
+    {
+      "epoch": 0.3546778919756436,
+      "grad_norm": 0.4407690465450287,
+      "learning_rate": 8.481639494133781e-05,
+      "loss": 0.6983,
+      "step": 2400
+    },
+    {
+      "epoch": 0.3583724533503899,
+      "grad_norm": 0.4756406545639038,
+      "learning_rate": 8.462593326222764e-05,
+      "loss": 0.6626,
+      "step": 2425
+    },
+    {
+      "epoch": 0.3620670147251362,
+      "grad_norm": 0.48595255613327026,
+      "learning_rate": 8.443547158311747e-05,
+      "loss": 0.6892,
+      "step": 2450
+    },
+    {
+      "epoch": 0.36576157609988247,
+      "grad_norm": 0.47830772399902344,
+      "learning_rate": 8.424500990400732e-05,
+      "loss": 0.7162,
+      "step": 2475
+    },
+    {
+      "epoch": 0.36945613747462874,
+      "grad_norm": 0.43090149760246277,
+      "learning_rate": 8.405454822489715e-05,
+      "loss": 0.6913,
+      "step": 2500
+    },
+    {
+      "epoch": 0.373150698849375,
+      "grad_norm": 0.5338718295097351,
+      "learning_rate": 8.386408654578698e-05,
+      "loss": 0.7159,
+      "step": 2525
+    },
+    {
+      "epoch": 0.37684526022412135,
+      "grad_norm": 0.4907350242137909,
+      "learning_rate": 8.367362486667683e-05,
+      "loss": 0.7022,
+      "step": 2550
+    },
+    {
+      "epoch": 0.3805398215988676,
+      "grad_norm": 0.44093430042266846,
+      "learning_rate": 8.348316318756668e-05,
+      "loss": 0.7124,
+      "step": 2575
+    },
+    {
+      "epoch": 0.3842343829736139,
+      "grad_norm": 0.5388796925544739,
+      "learning_rate": 8.329270150845651e-05,
+      "loss": 0.7304,
+      "step": 2600
+    },
+    {
+      "epoch": 0.38792894434836017,
+      "grad_norm": 0.4456349313259125,
+      "learning_rate": 8.310223982934634e-05,
+      "loss": 0.6964,
+      "step": 2625
+    },
+    {
+      "epoch": 0.3916235057231065,
+      "grad_norm": 0.4602237343788147,
+      "learning_rate": 8.291177815023617e-05,
+      "loss": 0.6707,
+      "step": 2650
+    },
+    {
+      "epoch": 0.3953180670978528,
+      "grad_norm": 0.4726378917694092,
+      "learning_rate": 8.272131647112601e-05,
+      "loss": 0.694,
+      "step": 2675
+    },
+    {
+      "epoch": 0.39901262847259905,
+      "grad_norm": 0.500451922416687,
+      "learning_rate": 8.253085479201585e-05,
+      "loss": 0.6812,
+      "step": 2700
+    },
+    {
+      "epoch": 0.4027071898473453,
+      "grad_norm": 0.4073813259601593,
+      "learning_rate": 8.234039311290569e-05,
+      "loss": 0.7028,
+      "step": 2725
+    },
+    {
+      "epoch": 0.40640175122209166,
+      "grad_norm": 0.43644702434539795,
+      "learning_rate": 8.214993143379552e-05,
+      "loss": 0.6936,
+      "step": 2750
+    },
+    {
+      "epoch": 0.41009631259683793,
+      "grad_norm": 0.5256789922714233,
+      "learning_rate": 8.195946975468535e-05,
+      "loss": 0.7035,
+      "step": 2775
+    },
+    {
+      "epoch": 0.4137908739715842,
+      "grad_norm": 0.48385316133499146,
+      "learning_rate": 8.17690080755752e-05,
+      "loss": 0.6736,
+      "step": 2800
+    },
+    {
+      "epoch": 0.4174854353463305,
+      "grad_norm": 0.49825233221054077,
+      "learning_rate": 8.157854639646504e-05,
+      "loss": 0.7019,
+      "step": 2825
+    },
+    {
+      "epoch": 0.42117999672107675,
+      "grad_norm": 0.5086994171142578,
+      "learning_rate": 8.138808471735488e-05,
+      "loss": 0.6918,
+      "step": 2850
+    },
+    {
+      "epoch": 0.4248745580958231,
+      "grad_norm": 0.5430259108543396,
+      "learning_rate": 8.119762303824471e-05,
+      "loss": 0.7175,
+      "step": 2875
+    },
+    {
+      "epoch": 0.42856911947056936,
+      "grad_norm": 0.5889118313789368,
+      "learning_rate": 8.100716135913454e-05,
+      "loss": 0.6967,
+      "step": 2900
+    },
+    {
+      "epoch": 0.43226368084531563,
+      "grad_norm": 0.5345672369003296,
+      "learning_rate": 8.081669968002439e-05,
+      "loss": 0.6926,
+      "step": 2925
+    },
+    {
+      "epoch": 0.4359582422200619,
+      "grad_norm": 0.511101245880127,
+      "learning_rate": 8.062623800091422e-05,
+      "loss": 0.7248,
+      "step": 2950
+    },
+    {
+      "epoch": 0.43965280359480824,
+      "grad_norm": 0.511239767074585,
+      "learning_rate": 8.043577632180405e-05,
+      "loss": 0.7319,
+      "step": 2975
+    },
+    {
+      "epoch": 0.4433473649695545,
+      "grad_norm": 0.5121573805809021,
+      "learning_rate": 8.024531464269389e-05,
+      "loss": 0.7023,
+      "step": 3000
+    }
+  ],
+  "logging_steps": 25,
+  "max_steps": 13532,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 2,
+  "save_steps": 1000,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 1.1989742094773969e+19,
+  "train_batch_size": 1,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-3000/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ddec6eef92f76dd21b66ba65fc3f8486e2d925551fb3a26f493b39225b02363f
+size 5969

checkpoint-4000/README.md

@@ -0,0 +1,202 @@
+---
+base_model: unsloth/Qwen3-8B-Base
+library_name: peft
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.15.2

checkpoint-4000/adapter_config.json

@@ -0,0 +1,42 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "unsloth/Qwen3-8B-Base",
+  "bias": "none",
+  "corda_config": null,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": [
+    "lm_head",
+    "embed_tokens"
+  ],
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "down_proj",
+    "gate_proj",
+    "k_proj",
+    "o_proj",
+    "q_proj",
+    "v_proj",
+    "up_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_rslora": false
+}

checkpoint-4000/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a5bded43c202097bf24f1a027d049e97357b9b02579ecceda0bc199922331c6e
+size 2838563408

checkpoint-4000/added_tokens.json

@@ -0,0 +1,28 @@
+{
+  "</think>": 151668,
+  "</tool_call>": 151658,
+  "</tool_response>": 151666,
+  "<think>": 151667,
+  "<tool_call>": 151657,
+  "<tool_response>": 151665,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

checkpoint-4000/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8d61f884fd4481238f4dffbde6f67cd0eb526c176fcb671061f4925427ef35cb
+size 2706136909

checkpoint-4000/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:250560ab3d528161ab3659b120def6e4a9ab4b457e3399603bbcfa40db3efc90
+size 14645

checkpoint-4000/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f3bf83ece5159cf2cb5de4f5b13778bc511f9bc202c945415824fa8952180b29
+size 1465

checkpoint-4000/special_tokens_map.json

@@ -0,0 +1,31 @@
+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|vision_pad|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

checkpoint-4000/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
+size 11422654

checkpoint-4000/tokenizer_config.json

@@ -0,0 +1,241 @@
+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151646": {
+      "content": "<|object_ref_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151647": {
+      "content": "<|object_ref_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151648": {
+      "content": "<|box_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151649": {
+      "content": "<|box_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151650": {
+      "content": "<|quad_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151651": {
+      "content": "<|quad_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151652": {
+      "content": "<|vision_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151653": {
+      "content": "<|vision_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151654": {
+      "content": "<|vision_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151655": {
+      "content": "<|image_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151656": {
+      "content": "<|video_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151657": {
+      "content": "<tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151658": {
+      "content": "</tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151659": {
+      "content": "<|fim_prefix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151660": {
+      "content": "<|fim_middle|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151661": {
+      "content": "<|fim_suffix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151662": {
+      "content": "<|fim_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151663": {
+      "content": "<|repo_name|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151664": {
+      "content": "<|file_sep|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151665": {
+      "content": "<tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151666": {
+      "content": "</tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151667": {
+      "content": "<think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151668": {
+      "content": "</think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "bos_token": null,
+  "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0].role == 'system' %}\n        {{- messages[0].content + '\\n\\n' }}\n    {%- endif %}\n    {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0].role == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n    {%- set index = (messages|length - 1) - loop.index0 %}\n    {%- if ns.multi_step_tool and message.role == \"user\" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n        {%- set ns.multi_step_tool = false %}\n        {%- set ns.last_query_index = index %}\n    {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {%- set content = message.content %}\n        {%- set reasoning_content = '' %}\n        {%- if message.reasoning_content is defined and message.reasoning_content is not none %}\n            {%- set reasoning_content = message.reasoning_content %}\n        {%- else %}\n            {%- if '</think>' in message.content %}\n                {%- set content = message.content.split('</think>')[-1].lstrip('\\n') %}\n                {%- set reasoning_content = message.content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n            {%- endif %}\n        {%- endif %}\n        {%- if loop.index0 > ns.last_query_index %}\n            {%- if loop.last or (not loop.last and reasoning_content) %}\n                {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n            {%- else %}\n                {{- '<|im_start|>' + message.role + '\\n' + content }}\n            {%- endif %}\n        {%- else %}\n            {{- '<|im_start|>' + message.role + '\\n' + content }}\n        {%- endif %}\n        {%- if message.tool_calls %}\n            {%- for tool_call in message.tool_calls %}\n                {%- if (loop.first and content) or (not loop.first) %}\n                    {{- '\\n' }}\n                {%- endif %}\n                {%- if tool_call.function %}\n                    {%- set tool_call = tool_call.function %}\n                {%- endif %}\n                {{- '<tool_call>\\n{\"name\": \"' }}\n                {{- tool_call.name }}\n                {{- '\", \"arguments\": ' }}\n                {%- if tool_call.arguments is string %}\n                    {{- tool_call.arguments }}\n                {%- else %}\n                    {{- tool_call.arguments | tojson }}\n                {%- endif %}\n                {{- '}\\n</tool_call>' }}\n            {%- endfor %}\n        {%- endif %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n    {%- if enable_thinking is defined and enable_thinking is false %}\n        {{- '<think>\\n\\n</think>\\n\\n' }}\n    {%- endif %}\n{%- endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 32768,
+  "pad_token": "<|vision_pad|>",
+  "padding_side": "right",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

checkpoint-4000/trainer_state.json

@@ -0,0 +1,1154 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.591129819959406,
+  "eval_steps": 500,
+  "global_step": 4000,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.0036945613747462877,
+      "grad_norm": 2.2292165756225586,
+      "learning_rate": 5.911330049261084e-06,
+      "loss": 0.9395,
+      "step": 25
+    },
+    {
+      "epoch": 0.007389122749492575,
+      "grad_norm": 0.8381065130233765,
+      "learning_rate": 1.206896551724138e-05,
+      "loss": 0.89,
+      "step": 50
+    },
+    {
+      "epoch": 0.011083684124238862,
+      "grad_norm": 0.9238471984863281,
+      "learning_rate": 1.8226600985221676e-05,
+      "loss": 0.8384,
+      "step": 75
+    },
+    {
+      "epoch": 0.01477824549898515,
+      "grad_norm": 0.6837311387062073,
+      "learning_rate": 2.438423645320197e-05,
+      "loss": 0.784,
+      "step": 100
+    },
+    {
+      "epoch": 0.01847280687373144,
+      "grad_norm": 0.7093706727027893,
+      "learning_rate": 3.0541871921182266e-05,
+      "loss": 0.7675,
+      "step": 125
+    },
+    {
+      "epoch": 0.022167368248477724,
+      "grad_norm": 0.6208077073097229,
+      "learning_rate": 3.669950738916256e-05,
+      "loss": 0.7466,
+      "step": 150
+    },
+    {
+      "epoch": 0.025861929623224013,
+      "grad_norm": 0.8929094076156616,
+      "learning_rate": 4.2857142857142856e-05,
+      "loss": 0.7386,
+      "step": 175
+    },
+    {
+      "epoch": 0.0295564909979703,
+      "grad_norm": 0.7828120589256287,
+      "learning_rate": 4.901477832512316e-05,
+      "loss": 0.7173,
+      "step": 200
+    },
+    {
+      "epoch": 0.03325105237271659,
+      "grad_norm": 0.7134449481964111,
+      "learning_rate": 5.517241379310345e-05,
+      "loss": 0.7108,
+      "step": 225
+    },
+    {
+      "epoch": 0.03694561374746288,
+      "grad_norm": 0.7464851140975952,
+      "learning_rate": 6.133004926108375e-05,
+      "loss": 0.7332,
+      "step": 250
+    },
+    {
+      "epoch": 0.04064017512220916,
+      "grad_norm": 0.677793025970459,
+      "learning_rate": 6.748768472906404e-05,
+      "loss": 0.7194,
+      "step": 275
+    },
+    {
+      "epoch": 0.04433473649695545,
+      "grad_norm": 0.7936354875564575,
+      "learning_rate": 7.364532019704434e-05,
+      "loss": 0.7253,
+      "step": 300
+    },
+    {
+      "epoch": 0.04802929787170174,
+      "grad_norm": 0.6711100935935974,
+      "learning_rate": 7.980295566502463e-05,
+      "loss": 0.7018,
+      "step": 325
+    },
+    {
+      "epoch": 0.051723859246448026,
+      "grad_norm": 0.5816489458084106,
+      "learning_rate": 8.596059113300493e-05,
+      "loss": 0.7298,
+      "step": 350
+    },
+    {
+      "epoch": 0.055418420621194314,
+      "grad_norm": 0.6680681705474854,
+      "learning_rate": 9.211822660098522e-05,
+      "loss": 0.7149,
+      "step": 375
+    },
+    {
+      "epoch": 0.0591129819959406,
+      "grad_norm": 0.5643934607505798,
+      "learning_rate": 9.827586206896552e-05,
+      "loss": 0.763,
+      "step": 400
+    },
+    {
+      "epoch": 0.06280754337068689,
+      "grad_norm": 0.5739309191703796,
+      "learning_rate": 9.986286759104069e-05,
+      "loss": 0.7345,
+      "step": 425
+    },
+    {
+      "epoch": 0.06650210474543318,
+      "grad_norm": 0.5929909944534302,
+      "learning_rate": 9.967240591193052e-05,
+      "loss": 0.7364,
+      "step": 450
+    },
+    {
+      "epoch": 0.07019666612017947,
+      "grad_norm": 0.609235405921936,
+      "learning_rate": 9.948194423282036e-05,
+      "loss": 0.7294,
+      "step": 475
+    },
+    {
+      "epoch": 0.07389122749492576,
+      "grad_norm": 0.4643324613571167,
+      "learning_rate": 9.92914825537102e-05,
+      "loss": 0.7344,
+      "step": 500
+    },
+    {
+      "epoch": 0.07758578886967203,
+      "grad_norm": 0.5267598032951355,
+      "learning_rate": 9.910102087460003e-05,
+      "loss": 0.7249,
+      "step": 525
+    },
+    {
+      "epoch": 0.08128035024441832,
+      "grad_norm": 0.47951069474220276,
+      "learning_rate": 9.891055919548987e-05,
+      "loss": 0.7256,
+      "step": 550
+    },
+    {
+      "epoch": 0.08497491161916461,
+      "grad_norm": 0.4505012333393097,
+      "learning_rate": 9.87200975163797e-05,
+      "loss": 0.7359,
+      "step": 575
+    },
+    {
+      "epoch": 0.0886694729939109,
+      "grad_norm": 0.5320091247558594,
+      "learning_rate": 9.852963583726955e-05,
+      "loss": 0.6856,
+      "step": 600
+    },
+    {
+      "epoch": 0.09236403436865719,
+      "grad_norm": 0.5583036541938782,
+      "learning_rate": 9.833917415815939e-05,
+      "loss": 0.7235,
+      "step": 625
+    },
+    {
+      "epoch": 0.09605859574340347,
+      "grad_norm": 0.5139252543449402,
+      "learning_rate": 9.814871247904922e-05,
+      "loss": 0.7272,
+      "step": 650
+    },
+    {
+      "epoch": 0.09975315711814976,
+      "grad_norm": 0.4989326000213623,
+      "learning_rate": 9.795825079993906e-05,
+      "loss": 0.6952,
+      "step": 675
+    },
+    {
+      "epoch": 0.10344771849289605,
+      "grad_norm": 0.47355732321739197,
+      "learning_rate": 9.776778912082889e-05,
+      "loss": 0.7266,
+      "step": 700
+    },
+    {
+      "epoch": 0.10714227986764234,
+      "grad_norm": 0.3588508367538452,
+      "learning_rate": 9.757732744171874e-05,
+      "loss": 0.7406,
+      "step": 725
+    },
+    {
+      "epoch": 0.11083684124238863,
+      "grad_norm": 0.4120556712150574,
+      "learning_rate": 9.738686576260857e-05,
+      "loss": 0.7443,
+      "step": 750
+    },
+    {
+      "epoch": 0.11453140261713492,
+      "grad_norm": 0.5160555839538574,
+      "learning_rate": 9.71964040834984e-05,
+      "loss": 0.7134,
+      "step": 775
+    },
+    {
+      "epoch": 0.1182259639918812,
+      "grad_norm": 0.5423145890235901,
+      "learning_rate": 9.700594240438823e-05,
+      "loss": 0.7289,
+      "step": 800
+    },
+    {
+      "epoch": 0.1219205253666275,
+      "grad_norm": 0.5352346301078796,
+      "learning_rate": 9.681548072527808e-05,
+      "loss": 0.7144,
+      "step": 825
+    },
+    {
+      "epoch": 0.12561508674137378,
+      "grad_norm": 0.47908860445022583,
+      "learning_rate": 9.662501904616791e-05,
+      "loss": 0.7175,
+      "step": 850
+    },
+    {
+      "epoch": 0.12930964811612006,
+      "grad_norm": 0.47986069321632385,
+      "learning_rate": 9.643455736705776e-05,
+      "loss": 0.6983,
+      "step": 875
+    },
+    {
+      "epoch": 0.13300420949086636,
+      "grad_norm": 0.6903620958328247,
+      "learning_rate": 9.624409568794759e-05,
+      "loss": 0.7086,
+      "step": 900
+    },
+    {
+      "epoch": 0.13669877086561263,
+      "grad_norm": 0.44413208961486816,
+      "learning_rate": 9.605363400883742e-05,
+      "loss": 0.7306,
+      "step": 925
+    },
+    {
+      "epoch": 0.14039333224035894,
+      "grad_norm": 0.4634678065776825,
+      "learning_rate": 9.586317232972727e-05,
+      "loss": 0.7061,
+      "step": 950
+    },
+    {
+      "epoch": 0.1440878936151052,
+      "grad_norm": 0.5110129714012146,
+      "learning_rate": 9.56727106506171e-05,
+      "loss": 0.7406,
+      "step": 975
+    },
+    {
+      "epoch": 0.1477824549898515,
+      "grad_norm": 0.5460866093635559,
+      "learning_rate": 9.548224897150694e-05,
+      "loss": 0.721,
+      "step": 1000
+    },
+    {
+      "epoch": 0.1514770163645978,
+      "grad_norm": 0.5179885029792786,
+      "learning_rate": 9.529178729239677e-05,
+      "loss": 0.7068,
+      "step": 1025
+    },
+    {
+      "epoch": 0.15517157773934406,
+      "grad_norm": 0.40280836820602417,
+      "learning_rate": 9.51013256132866e-05,
+      "loss": 0.7009,
+      "step": 1050
+    },
+    {
+      "epoch": 0.15886613911409037,
+      "grad_norm": 1.2706756591796875,
+      "learning_rate": 9.491086393417645e-05,
+      "loss": 0.7125,
+      "step": 1075
+    },
+    {
+      "epoch": 0.16256070048883664,
+      "grad_norm": 0.4963163435459137,
+      "learning_rate": 9.47204022550663e-05,
+      "loss": 0.7149,
+      "step": 1100
+    },
+    {
+      "epoch": 0.16625526186358294,
+      "grad_norm": 0.5147728323936462,
+      "learning_rate": 9.452994057595613e-05,
+      "loss": 0.7245,
+      "step": 1125
+    },
+    {
+      "epoch": 0.16994982323832922,
+      "grad_norm": 0.5933899879455566,
+      "learning_rate": 9.433947889684596e-05,
+      "loss": 0.7261,
+      "step": 1150
+    },
+    {
+      "epoch": 0.17364438461307552,
+      "grad_norm": 0.4750466048717499,
+      "learning_rate": 9.414901721773579e-05,
+      "loss": 0.7206,
+      "step": 1175
+    },
+    {
+      "epoch": 0.1773389459878218,
+      "grad_norm": 0.46546968817710876,
+      "learning_rate": 9.395855553862564e-05,
+      "loss": 0.7121,
+      "step": 1200
+    },
+    {
+      "epoch": 0.1810335073625681,
+      "grad_norm": 0.6512172818183899,
+      "learning_rate": 9.376809385951547e-05,
+      "loss": 0.7212,
+      "step": 1225
+    },
+    {
+      "epoch": 0.18472806873731437,
+      "grad_norm": 0.34932607412338257,
+      "learning_rate": 9.35776321804053e-05,
+      "loss": 0.704,
+      "step": 1250
+    },
+    {
+      "epoch": 0.18842263011206067,
+      "grad_norm": 0.4648846983909607,
+      "learning_rate": 9.338717050129514e-05,
+      "loss": 0.7419,
+      "step": 1275
+    },
+    {
+      "epoch": 0.19211719148680695,
+      "grad_norm": 0.4566064774990082,
+      "learning_rate": 9.319670882218498e-05,
+      "loss": 0.7318,
+      "step": 1300
+    },
+    {
+      "epoch": 0.19581175286155325,
+      "grad_norm": 0.5357668399810791,
+      "learning_rate": 9.300624714307481e-05,
+      "loss": 0.6973,
+      "step": 1325
+    },
+    {
+      "epoch": 0.19950631423629953,
+      "grad_norm": 0.4423241913318634,
+      "learning_rate": 9.281578546396466e-05,
+      "loss": 0.7298,
+      "step": 1350
+    },
+    {
+      "epoch": 0.20320087561104583,
+      "grad_norm": 0.4530033767223358,
+      "learning_rate": 9.26253237848545e-05,
+      "loss": 0.7161,
+      "step": 1375
+    },
+    {
+      "epoch": 0.2068954369857921,
+      "grad_norm": 0.4678841233253479,
+      "learning_rate": 9.243486210574433e-05,
+      "loss": 0.6972,
+      "step": 1400
+    },
+    {
+      "epoch": 0.21058999836053838,
+      "grad_norm": 0.6039907336235046,
+      "learning_rate": 9.224440042663417e-05,
+      "loss": 0.7165,
+      "step": 1425
+    },
+    {
+      "epoch": 0.21428455973528468,
+      "grad_norm": 0.4463271498680115,
+      "learning_rate": 9.2053938747524e-05,
+      "loss": 0.6863,
+      "step": 1450
+    },
+    {
+      "epoch": 0.21797912111003095,
+      "grad_norm": 0.5739301443099976,
+      "learning_rate": 9.186347706841384e-05,
+      "loss": 0.6907,
+      "step": 1475
+    },
+    {
+      "epoch": 0.22167368248477726,
+      "grad_norm": 0.4577805697917938,
+      "learning_rate": 9.167301538930367e-05,
+      "loss": 0.7114,
+      "step": 1500
+    },
+    {
+      "epoch": 0.22536824385952353,
+      "grad_norm": 0.4522150158882141,
+      "learning_rate": 9.14825537101935e-05,
+      "loss": 0.6877,
+      "step": 1525
+    },
+    {
+      "epoch": 0.22906280523426983,
+      "grad_norm": 0.49612903594970703,
+      "learning_rate": 9.129209203108335e-05,
+      "loss": 0.7112,
+      "step": 1550
+    },
+    {
+      "epoch": 0.2327573666090161,
+      "grad_norm": 0.4710284471511841,
+      "learning_rate": 9.11016303519732e-05,
+      "loss": 0.7062,
+      "step": 1575
+    },
+    {
+      "epoch": 0.2364519279837624,
+      "grad_norm": 0.5009223818778992,
+      "learning_rate": 9.091116867286303e-05,
+      "loss": 0.7275,
+      "step": 1600
+    },
+    {
+      "epoch": 0.24014648935850869,
+      "grad_norm": 0.5547946691513062,
+      "learning_rate": 9.072070699375286e-05,
+      "loss": 0.6993,
+      "step": 1625
+    },
+    {
+      "epoch": 0.243841050733255,
+      "grad_norm": 0.4580361843109131,
+      "learning_rate": 9.05302453146427e-05,
+      "loss": 0.7106,
+      "step": 1650
+    },
+    {
+      "epoch": 0.24753561210800126,
+      "grad_norm": 0.4767173230648041,
+      "learning_rate": 9.033978363553254e-05,
+      "loss": 0.7103,
+      "step": 1675
+    },
+    {
+      "epoch": 0.25123017348274757,
+      "grad_norm": 0.502202570438385,
+      "learning_rate": 9.014932195642237e-05,
+      "loss": 0.6921,
+      "step": 1700
+    },
+    {
+      "epoch": 0.25492473485749384,
+      "grad_norm": 0.5283953547477722,
+      "learning_rate": 8.99588602773122e-05,
+      "loss": 0.7077,
+      "step": 1725
+    },
+    {
+      "epoch": 0.2586192962322401,
+      "grad_norm": 0.4994209408760071,
+      "learning_rate": 8.976839859820204e-05,
+      "loss": 0.7,
+      "step": 1750
+    },
+    {
+      "epoch": 0.2623138576069864,
+      "grad_norm": 0.48279210925102234,
+      "learning_rate": 8.957793691909188e-05,
+      "loss": 0.7114,
+      "step": 1775
+    },
+    {
+      "epoch": 0.2660084189817327,
+      "grad_norm": 0.6055914759635925,
+      "learning_rate": 8.938747523998172e-05,
+      "loss": 0.7081,
+      "step": 1800
+    },
+    {
+      "epoch": 0.269702980356479,
+      "grad_norm": 0.489519327878952,
+      "learning_rate": 8.919701356087156e-05,
+      "loss": 0.6946,
+      "step": 1825
+    },
+    {
+      "epoch": 0.27339754173122527,
+      "grad_norm": 0.5379961133003235,
+      "learning_rate": 8.90065518817614e-05,
+      "loss": 0.6996,
+      "step": 1850
+    },
+    {
+      "epoch": 0.27709210310597154,
+      "grad_norm": 0.47824332118034363,
+      "learning_rate": 8.881609020265123e-05,
+      "loss": 0.6881,
+      "step": 1875
+    },
+    {
+      "epoch": 0.2807866644807179,
+      "grad_norm": 1551.0594482421875,
+      "learning_rate": 8.862562852354107e-05,
+      "loss": 0.6998,
+      "step": 1900
+    },
+    {
+      "epoch": 0.28448122585546415,
+      "grad_norm": 0.4107681214809418,
+      "learning_rate": 8.84351668444309e-05,
+      "loss": 0.7088,
+      "step": 1925
+    },
+    {
+      "epoch": 0.2881757872302104,
+      "grad_norm": 0.4558309316635132,
+      "learning_rate": 8.824470516532074e-05,
+      "loss": 0.712,
+      "step": 1950
+    },
+    {
+      "epoch": 0.2918703486049567,
+      "grad_norm": 0.539107620716095,
+      "learning_rate": 8.805424348621057e-05,
+      "loss": 0.7159,
+      "step": 1975
+    },
+    {
+      "epoch": 0.295564909979703,
+      "grad_norm": 0.5768142938613892,
+      "learning_rate": 8.786378180710042e-05,
+      "loss": 0.7072,
+      "step": 2000
+    },
+    {
+      "epoch": 0.2992594713544493,
+      "grad_norm": 0.5575465559959412,
+      "learning_rate": 8.767332012799025e-05,
+      "loss": 0.7118,
+      "step": 2025
+    },
+    {
+      "epoch": 0.3029540327291956,
+      "grad_norm": 0.5190144181251526,
+      "learning_rate": 8.748285844888008e-05,
+      "loss": 0.7099,
+      "step": 2050
+    },
+    {
+      "epoch": 0.30664859410394185,
+      "grad_norm": 0.4934520125389099,
+      "learning_rate": 8.729239676976993e-05,
+      "loss": 0.692,
+      "step": 2075
+    },
+    {
+      "epoch": 0.3103431554786881,
+      "grad_norm": 0.42613571882247925,
+      "learning_rate": 8.710193509065976e-05,
+      "loss": 0.7277,
+      "step": 2100
+    },
+    {
+      "epoch": 0.31403771685343446,
+      "grad_norm": 0.5124602317810059,
+      "learning_rate": 8.691147341154961e-05,
+      "loss": 0.6801,
+      "step": 2125
+    },
+    {
+      "epoch": 0.31773227822818073,
+      "grad_norm": 0.5284898281097412,
+      "learning_rate": 8.672101173243944e-05,
+      "loss": 0.7103,
+      "step": 2150
+    },
+    {
+      "epoch": 0.321426839602927,
+      "grad_norm": 0.43099457025527954,
+      "learning_rate": 8.653055005332927e-05,
+      "loss": 0.7023,
+      "step": 2175
+    },
+    {
+      "epoch": 0.3251214009776733,
+      "grad_norm": 0.5190865993499756,
+      "learning_rate": 8.63400883742191e-05,
+      "loss": 0.7144,
+      "step": 2200
+    },
+    {
+      "epoch": 0.3288159623524196,
+      "grad_norm": 0.4722968637943268,
+      "learning_rate": 8.614962669510895e-05,
+      "loss": 0.7351,
+      "step": 2225
+    },
+    {
+      "epoch": 0.3325105237271659,
+      "grad_norm": 0.6091466546058655,
+      "learning_rate": 8.595916501599878e-05,
+      "loss": 0.7062,
+      "step": 2250
+    },
+    {
+      "epoch": 0.33620508510191216,
+      "grad_norm": 0.6135897040367126,
+      "learning_rate": 8.576870333688862e-05,
+      "loss": 0.7117,
+      "step": 2275
+    },
+    {
+      "epoch": 0.33989964647665843,
+      "grad_norm": 0.5224157571792603,
+      "learning_rate": 8.557824165777846e-05,
+      "loss": 0.7068,
+      "step": 2300
+    },
+    {
+      "epoch": 0.34359420785140476,
+      "grad_norm": 0.4863536059856415,
+      "learning_rate": 8.53877799786683e-05,
+      "loss": 0.6952,
+      "step": 2325
+    },
+    {
+      "epoch": 0.34728876922615104,
+      "grad_norm": 0.4728885889053345,
+      "learning_rate": 8.519731829955814e-05,
+      "loss": 0.7289,
+      "step": 2350
+    },
+    {
+      "epoch": 0.3509833306008973,
+      "grad_norm": 0.5152695775032043,
+      "learning_rate": 8.500685662044798e-05,
+      "loss": 0.6986,
+      "step": 2375
+    },
+    {
+      "epoch": 0.3546778919756436,
+      "grad_norm": 0.4407690465450287,
+      "learning_rate": 8.481639494133781e-05,
+      "loss": 0.6983,
+      "step": 2400
+    },
+    {
+      "epoch": 0.3583724533503899,
+      "grad_norm": 0.4756406545639038,
+      "learning_rate": 8.462593326222764e-05,
+      "loss": 0.6626,
+      "step": 2425
+    },
+    {
+      "epoch": 0.3620670147251362,
+      "grad_norm": 0.48595255613327026,
+      "learning_rate": 8.443547158311747e-05,
+      "loss": 0.6892,
+      "step": 2450
+    },
+    {
+      "epoch": 0.36576157609988247,
+      "grad_norm": 0.47830772399902344,
+      "learning_rate": 8.424500990400732e-05,
+      "loss": 0.7162,
+      "step": 2475
+    },
+    {
+      "epoch": 0.36945613747462874,
+      "grad_norm": 0.43090149760246277,
+      "learning_rate": 8.405454822489715e-05,
+      "loss": 0.6913,
+      "step": 2500
+    },
+    {
+      "epoch": 0.373150698849375,
+      "grad_norm": 0.5338718295097351,
+      "learning_rate": 8.386408654578698e-05,
+      "loss": 0.7159,
+      "step": 2525
+    },
+    {
+      "epoch": 0.37684526022412135,
+      "grad_norm": 0.4907350242137909,
+      "learning_rate": 8.367362486667683e-05,
+      "loss": 0.7022,
+      "step": 2550
+    },
+    {
+      "epoch": 0.3805398215988676,
+      "grad_norm": 0.44093430042266846,
+      "learning_rate": 8.348316318756668e-05,
+      "loss": 0.7124,
+      "step": 2575
+    },
+    {
+      "epoch": 0.3842343829736139,
+      "grad_norm": 0.5388796925544739,
+      "learning_rate": 8.329270150845651e-05,
+      "loss": 0.7304,
+      "step": 2600
+    },
+    {
+      "epoch": 0.38792894434836017,
+      "grad_norm": 0.4456349313259125,
+      "learning_rate": 8.310223982934634e-05,
+      "loss": 0.6964,
+      "step": 2625
+    },
+    {
+      "epoch": 0.3916235057231065,
+      "grad_norm": 0.4602237343788147,
+      "learning_rate": 8.291177815023617e-05,
+      "loss": 0.6707,
+      "step": 2650
+    },
+    {
+      "epoch": 0.3953180670978528,
+      "grad_norm": 0.4726378917694092,
+      "learning_rate": 8.272131647112601e-05,
+      "loss": 0.694,
+      "step": 2675
+    },
+    {
+      "epoch": 0.39901262847259905,
+      "grad_norm": 0.500451922416687,
+      "learning_rate": 8.253085479201585e-05,
+      "loss": 0.6812,
+      "step": 2700
+    },
+    {
+      "epoch": 0.4027071898473453,
+      "grad_norm": 0.4073813259601593,
+      "learning_rate": 8.234039311290569e-05,
+      "loss": 0.7028,
+      "step": 2725
+    },
+    {
+      "epoch": 0.40640175122209166,
+      "grad_norm": 0.43644702434539795,
+      "learning_rate": 8.214993143379552e-05,
+      "loss": 0.6936,
+      "step": 2750
+    },
+    {
+      "epoch": 0.41009631259683793,
+      "grad_norm": 0.5256789922714233,
+      "learning_rate": 8.195946975468535e-05,
+      "loss": 0.7035,
+      "step": 2775
+    },
+    {
+      "epoch": 0.4137908739715842,
+      "grad_norm": 0.48385316133499146,
+      "learning_rate": 8.17690080755752e-05,
+      "loss": 0.6736,
+      "step": 2800
+    },
+    {
+      "epoch": 0.4174854353463305,
+      "grad_norm": 0.49825233221054077,
+      "learning_rate": 8.157854639646504e-05,
+      "loss": 0.7019,
+      "step": 2825
+    },
+    {
+      "epoch": 0.42117999672107675,
+      "grad_norm": 0.5086994171142578,
+      "learning_rate": 8.138808471735488e-05,
+      "loss": 0.6918,
+      "step": 2850
+    },
+    {
+      "epoch": 0.4248745580958231,
+      "grad_norm": 0.5430259108543396,
+      "learning_rate": 8.119762303824471e-05,
+      "loss": 0.7175,
+      "step": 2875
+    },
+    {
+      "epoch": 0.42856911947056936,
+      "grad_norm": 0.5889118313789368,
+      "learning_rate": 8.100716135913454e-05,
+      "loss": 0.6967,
+      "step": 2900
+    },
+    {
+      "epoch": 0.43226368084531563,
+      "grad_norm": 0.5345672369003296,
+      "learning_rate": 8.081669968002439e-05,
+      "loss": 0.6926,
+      "step": 2925
+    },
+    {
+      "epoch": 0.4359582422200619,
+      "grad_norm": 0.511101245880127,
+      "learning_rate": 8.062623800091422e-05,
+      "loss": 0.7248,
+      "step": 2950
+    },
+    {
+      "epoch": 0.43965280359480824,
+      "grad_norm": 0.511239767074585,
+      "learning_rate": 8.043577632180405e-05,
+      "loss": 0.7319,
+      "step": 2975
+    },
+    {
+      "epoch": 0.4433473649695545,
+      "grad_norm": 0.5121573805809021,
+      "learning_rate": 8.024531464269389e-05,
+      "loss": 0.7023,
+      "step": 3000
+    },
+    {
+      "epoch": 0.4470419263443008,
+      "grad_norm": 0.5658753514289856,
+      "learning_rate": 8.005485296358373e-05,
+      "loss": 0.6934,
+      "step": 3025
+    },
+    {
+      "epoch": 0.45073648771904706,
+      "grad_norm": 0.5475583672523499,
+      "learning_rate": 7.986439128447358e-05,
+      "loss": 0.6701,
+      "step": 3050
+    },
+    {
+      "epoch": 0.4544310490937934,
+      "grad_norm": 0.6107661724090576,
+      "learning_rate": 7.967392960536341e-05,
+      "loss": 0.7056,
+      "step": 3075
+    },
+    {
+      "epoch": 0.45812561046853967,
+      "grad_norm": 0.48424115777015686,
+      "learning_rate": 7.948346792625324e-05,
+      "loss": 0.7179,
+      "step": 3100
+    },
+    {
+      "epoch": 0.46182017184328594,
+      "grad_norm": 0.6184881329536438,
+      "learning_rate": 7.929300624714308e-05,
+      "loss": 0.7141,
+      "step": 3125
+    },
+    {
+      "epoch": 0.4655147332180322,
+      "grad_norm": 0.49919527769088745,
+      "learning_rate": 7.910254456803291e-05,
+      "loss": 0.7027,
+      "step": 3150
+    },
+    {
+      "epoch": 0.4692092945927785,
+      "grad_norm": 0.5012905597686768,
+      "learning_rate": 7.891208288892276e-05,
+      "loss": 0.6852,
+      "step": 3175
+    },
+    {
+      "epoch": 0.4729038559675248,
+      "grad_norm": 0.5033735036849976,
+      "learning_rate": 7.872162120981259e-05,
+      "loss": 0.7199,
+      "step": 3200
+    },
+    {
+      "epoch": 0.4765984173422711,
+      "grad_norm": 0.5746079087257385,
+      "learning_rate": 7.853115953070242e-05,
+      "loss": 0.715,
+      "step": 3225
+    },
+    {
+      "epoch": 0.48029297871701737,
+      "grad_norm": 0.5436145663261414,
+      "learning_rate": 7.834069785159225e-05,
+      "loss": 0.697,
+      "step": 3250
+    },
+    {
+      "epoch": 0.48398754009176365,
+      "grad_norm": 0.5836604833602905,
+      "learning_rate": 7.81502361724821e-05,
+      "loss": 0.7129,
+      "step": 3275
+    },
+    {
+      "epoch": 0.48768210146651,
+      "grad_norm": 0.5618935227394104,
+      "learning_rate": 7.795977449337195e-05,
+      "loss": 0.6993,
+      "step": 3300
+    },
+    {
+      "epoch": 0.49137666284125625,
+      "grad_norm": 0.6251245737075806,
+      "learning_rate": 7.776931281426178e-05,
+      "loss": 0.7132,
+      "step": 3325
+    },
+    {
+      "epoch": 0.4950712242160025,
+      "grad_norm": 0.5123202800750732,
+      "learning_rate": 7.757885113515161e-05,
+      "loss": 0.7218,
+      "step": 3350
+    },
+    {
+      "epoch": 0.4987657855907488,
+      "grad_norm": 0.5818086862564087,
+      "learning_rate": 7.738838945604144e-05,
+      "loss": 0.7154,
+      "step": 3375
+    },
+    {
+      "epoch": 0.5024603469654951,
+      "grad_norm": 0.5861947536468506,
+      "learning_rate": 7.719792777693129e-05,
+      "loss": 0.7013,
+      "step": 3400
+    },
+    {
+      "epoch": 0.5061549083402413,
+      "grad_norm": 0.4849907457828522,
+      "learning_rate": 7.700746609782112e-05,
+      "loss": 0.6902,
+      "step": 3425
+    },
+    {
+      "epoch": 0.5098494697149877,
+      "grad_norm": 0.5476916432380676,
+      "learning_rate": 7.681700441871096e-05,
+      "loss": 0.7147,
+      "step": 3450
+    },
+    {
+      "epoch": 0.513544031089734,
+      "grad_norm": 0.5822548866271973,
+      "learning_rate": 7.662654273960079e-05,
+      "loss": 0.7431,
+      "step": 3475
+    },
+    {
+      "epoch": 0.5172385924644802,
+      "grad_norm": 0.44818004965782166,
+      "learning_rate": 7.643608106049063e-05,
+      "loss": 0.718,
+      "step": 3500
+    },
+    {
+      "epoch": 0.5209331538392266,
+      "grad_norm": 0.544068455696106,
+      "learning_rate": 7.624561938138047e-05,
+      "loss": 0.7201,
+      "step": 3525
+    },
+    {
+      "epoch": 0.5246277152139728,
+      "grad_norm": 0.5535098910331726,
+      "learning_rate": 7.605515770227031e-05,
+      "loss": 0.6998,
+      "step": 3550
+    },
+    {
+      "epoch": 0.5283222765887191,
+      "grad_norm": 0.5754445195198059,
+      "learning_rate": 7.586469602316015e-05,
+      "loss": 0.6918,
+      "step": 3575
+    },
+    {
+      "epoch": 0.5320168379634654,
+      "grad_norm": 0.5976133942604065,
+      "learning_rate": 7.567423434404998e-05,
+      "loss": 0.693,
+      "step": 3600
+    },
+    {
+      "epoch": 0.5357113993382117,
+      "grad_norm": 0.4844263195991516,
+      "learning_rate": 7.548377266493982e-05,
+      "loss": 0.68,
+      "step": 3625
+    },
+    {
+      "epoch": 0.539405960712958,
+      "grad_norm": 0.5436462163925171,
+      "learning_rate": 7.529331098582966e-05,
+      "loss": 0.7075,
+      "step": 3650
+    },
+    {
+      "epoch": 0.5431005220877043,
+      "grad_norm": 0.6490929126739502,
+      "learning_rate": 7.510284930671949e-05,
+      "loss": 0.6956,
+      "step": 3675
+    },
+    {
+      "epoch": 0.5467950834624505,
+      "grad_norm": 0.47479814291000366,
+      "learning_rate": 7.491238762760932e-05,
+      "loss": 0.7026,
+      "step": 3700
+    },
+    {
+      "epoch": 0.5504896448371969,
+      "grad_norm": 0.590874969959259,
+      "learning_rate": 7.472192594849915e-05,
+      "loss": 0.7117,
+      "step": 3725
+    },
+    {
+      "epoch": 0.5541842062119431,
+      "grad_norm": 0.46487829089164734,
+      "learning_rate": 7.4531464269389e-05,
+      "loss": 0.6919,
+      "step": 3750
+    },
+    {
+      "epoch": 0.5578787675866894,
+      "grad_norm": 0.6609780192375183,
+      "learning_rate": 7.434100259027885e-05,
+      "loss": 0.7089,
+      "step": 3775
+    },
+    {
+      "epoch": 0.5615733289614357,
+      "grad_norm": 0.6165657639503479,
+      "learning_rate": 7.415054091116868e-05,
+      "loss": 0.7444,
+      "step": 3800
+    },
+    {
+      "epoch": 0.565267890336182,
+      "grad_norm": 0.5194655656814575,
+      "learning_rate": 7.396007923205851e-05,
+      "loss": 0.7114,
+      "step": 3825
+    },
+    {
+      "epoch": 0.5689624517109283,
+      "grad_norm": 0.4813441336154938,
+      "learning_rate": 7.376961755294836e-05,
+      "loss": 0.6953,
+      "step": 3850
+    },
+    {
+      "epoch": 0.5726570130856745,
+      "grad_norm": 0.7607313990592957,
+      "learning_rate": 7.357915587383819e-05,
+      "loss": 0.7058,
+      "step": 3875
+    },
+    {
+      "epoch": 0.5763515744604208,
+      "grad_norm": 0.48498719930648804,
+      "learning_rate": 7.338869419472802e-05,
+      "loss": 0.6866,
+      "step": 3900
+    },
+    {
+      "epoch": 0.5800461358351672,
+      "grad_norm": 0.5969393253326416,
+      "learning_rate": 7.319823251561786e-05,
+      "loss": 0.6951,
+      "step": 3925
+    },
+    {
+      "epoch": 0.5837406972099134,
+      "grad_norm": 0.6178887486457825,
+      "learning_rate": 7.300777083650769e-05,
+      "loss": 0.7036,
+      "step": 3950
+    },
+    {
+      "epoch": 0.5874352585846597,
+      "grad_norm": 0.5318612456321716,
+      "learning_rate": 7.281730915739754e-05,
+      "loss": 0.6856,
+      "step": 3975
+    },
+    {
+      "epoch": 0.591129819959406,
+      "grad_norm": 0.6101936101913452,
+      "learning_rate": 7.262684747828737e-05,
+      "loss": 0.7103,
+      "step": 4000
+    }
+  ],
+  "logging_steps": 25,
+  "max_steps": 13532,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 2,
+  "save_steps": 1000,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 1.6005238537023461e+19,
+  "train_batch_size": 1,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-4000/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ddec6eef92f76dd21b66ba65fc3f8486e2d925551fb3a26f493b39225b02363f
+size 5969