Training in progress, step 42, checkpoint

last-checkpoint/README.md

@@ -0,0 +1,202 @@
+---
+base_model: katuni4ka/tiny-random-falcon-40b
+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 0.13.2

last-checkpoint/adapter_config.json

@@ -0,0 +1,31 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "katuni4ka/tiny-random-falcon-40b",
+  "bias": "none",
+  "fan_in_fan_out": null,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "dense_h_to_4h",
+    "dense_4h_to_h",
+    "query_key_value",
+    "dense"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

last-checkpoint/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7c8bf60211c0d4af705041a9a803b4eb3f35d1edc8053ce54e71da83b95373ed
+size 247944

last-checkpoint/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:70869a4908f877af06150ac878d5d9c052ac86f9c5f128e430c99ab2366dcfab
+size 505518

last-checkpoint/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:24b29e7b3bcb7990f2c97681179de3fece31e9b8cb7151a5b17f6ebd15b9a104
+size 14244

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f534009a75fa75b4f35e4ec13f80483c364cb0ab91416aa4b28ecd74b8c80bc9
+size 1064

last-checkpoint/special_tokens_map.json

@@ -0,0 +1,29 @@
+{
+  "additional_special_tokens": [
+    ">>TITLE<<",
+    ">>ABSTRACT<<",
+    ">>INTRODUCTION<<",
+    ">>SUMMARY<<",
+    ">>COMMENT<<",
+    ">>ANSWER<<",
+    ">>QUESTION<<",
+    ">>DOMAIN<<",
+    ">>PREFIX<<",
+    ">>SUFFIX<<",
+    ">>MIDDLE<<"
+  ],
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

last-checkpoint/tokenizer_config.json

@@ -0,0 +1,124 @@
+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": ">>TITLE<<",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": ">>ABSTRACT<<",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": ">>INTRODUCTION<<",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": ">>SUMMARY<<",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "4": {
+      "content": ">>COMMENT<<",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "5": {
+      "content": ">>ANSWER<<",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "6": {
+      "content": ">>QUESTION<<",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "7": {
+      "content": ">>DOMAIN<<",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "8": {
+      "content": ">>PREFIX<<",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "9": {
+      "content": ">>SUFFIX<<",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "10": {
+      "content": ">>MIDDLE<<",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "11": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    ">>TITLE<<",
+    ">>ABSTRACT<<",
+    ">>INTRODUCTION<<",
+    ">>SUMMARY<<",
+    ">>COMMENT<<",
+    ">>ANSWER<<",
+    ">>QUESTION<<",
+    ">>DOMAIN<<",
+    ">>PREFIX<<",
+    ">>SUFFIX<<",
+    ">>MIDDLE<<"
+  ],
+  "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "model_input_names": [
+    "input_ids",
+    "attention_mask"
+  ],
+  "model_max_length": 2048,
+  "pad_token": "<|endoftext|>",
+  "tokenizer_class": "PreTrainedTokenizerFast"
+}

last-checkpoint/trainer_state.json

@@ -0,0 +1,344 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 3.0954545454545457,
+  "eval_steps": 50,
+  "global_step": 42,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.07272727272727272,
+      "grad_norm": 8.44869613647461,
+      "learning_rate": 5.000000000000001e-07,
+      "loss": 177.5064,
+      "step": 1
+    },
+    {
+      "epoch": 0.07272727272727272,
+      "eval_loss": 11.071250915527344,
+      "eval_runtime": 0.5641,
+      "eval_samples_per_second": 164.861,
+      "eval_steps_per_second": 21.272,
+      "step": 1
+    },
+    {
+      "epoch": 0.14545454545454545,
+      "grad_norm": 11.429190635681152,
+      "learning_rate": 1.0000000000000002e-06,
+      "loss": 177.0641,
+      "step": 2
+    },
+    {
+      "epoch": 0.21818181818181817,
+      "grad_norm": 17.863109588623047,
+      "learning_rate": 1.5e-06,
+      "loss": 176.9931,
+      "step": 3
+    },
+    {
+      "epoch": 0.2909090909090909,
+      "grad_norm": 8.479082107543945,
+      "learning_rate": 2.0000000000000003e-06,
+      "loss": 177.3865,
+      "step": 4
+    },
+    {
+      "epoch": 0.36363636363636365,
+      "grad_norm": 11.381377220153809,
+      "learning_rate": 2.5e-06,
+      "loss": 177.2066,
+      "step": 5
+    },
+    {
+      "epoch": 0.43636363636363634,
+      "grad_norm": 17.658552169799805,
+      "learning_rate": 3e-06,
+      "loss": 177.0446,
+      "step": 6
+    },
+    {
+      "epoch": 0.509090909090909,
+      "grad_norm": 8.5935640335083,
+      "learning_rate": 3.5e-06,
+      "loss": 177.3583,
+      "step": 7
+    },
+    {
+      "epoch": 0.5818181818181818,
+      "grad_norm": 11.793142318725586,
+      "learning_rate": 4.000000000000001e-06,
+      "loss": 177.0805,
+      "step": 8
+    },
+    {
+      "epoch": 0.6545454545454545,
+      "grad_norm": 18.412673950195312,
+      "learning_rate": 4.5e-06,
+      "loss": 177.062,
+      "step": 9
+    },
+    {
+      "epoch": 0.7272727272727273,
+      "grad_norm": 8.07923412322998,
+      "learning_rate": 5e-06,
+      "loss": 177.4053,
+      "step": 10
+    },
+    {
+      "epoch": 0.8,
+      "grad_norm": 11.589737892150879,
+      "learning_rate": 4.987961816680493e-06,
+      "loss": 177.1015,
+      "step": 11
+    },
+    {
+      "epoch": 0.8727272727272727,
+      "grad_norm": 19.304847717285156,
+      "learning_rate": 4.9519632010080765e-06,
+      "loss": 176.8183,
+      "step": 12
+    },
+    {
+      "epoch": 0.9454545454545454,
+      "grad_norm": 8.778698921203613,
+      "learning_rate": 4.8923508393305224e-06,
+      "loss": 177.3894,
+      "step": 13
+    },
+    {
+      "epoch": 1.0318181818181817,
+      "grad_norm": 9.674086570739746,
+      "learning_rate": 4.809698831278217e-06,
+      "loss": 177.3174,
+      "step": 14
+    },
+    {
+      "epoch": 1.1045454545454545,
+      "grad_norm": 9.977227210998535,
+      "learning_rate": 4.704803160870888e-06,
+      "loss": 177.347,
+      "step": 15
+    },
+    {
+      "epoch": 1.1772727272727272,
+      "grad_norm": 11.423659324645996,
+      "learning_rate": 4.578674030756364e-06,
+      "loss": 177.2202,
+      "step": 16
+    },
+    {
+      "epoch": 1.25,
+      "grad_norm": 16.131532669067383,
+      "learning_rate": 4.432526133406843e-06,
+      "loss": 176.9335,
+      "step": 17
+    },
+    {
+      "epoch": 1.3227272727272728,
+      "grad_norm": 9.869280815124512,
+      "learning_rate": 4.267766952966369e-06,
+      "loss": 177.1619,
+      "step": 18
+    },
+    {
+      "epoch": 1.3954545454545455,
+      "grad_norm": 12.199390411376953,
+      "learning_rate": 4.085983210409114e-06,
+      "loss": 177.0309,
+      "step": 19
+    },
+    {
+      "epoch": 1.4681818181818183,
+      "grad_norm": 13.953668594360352,
+      "learning_rate": 3.888925582549006e-06,
+      "loss": 177.1789,
+      "step": 20
+    },
+    {
+      "epoch": 1.540909090909091,
+      "grad_norm": 9.996757507324219,
+      "learning_rate": 3.6784918420649952e-06,
+      "loss": 177.1591,
+      "step": 21
+    },
+    {
+      "epoch": 1.6136363636363638,
+      "grad_norm": 12.22771167755127,
+      "learning_rate": 3.4567085809127247e-06,
+      "loss": 177.0023,
+      "step": 22
+    },
+    {
+      "epoch": 1.6863636363636365,
+      "grad_norm": 14.781397819519043,
+      "learning_rate": 3.225711693136156e-06,
+      "loss": 177.1294,
+      "step": 23
+    },
+    {
+      "epoch": 1.759090909090909,
+      "grad_norm": 9.922783851623535,
+      "learning_rate": 2.9877258050403214e-06,
+      "loss": 177.1626,
+      "step": 24
+    },
+    {
+      "epoch": 1.8318181818181818,
+      "grad_norm": 12.471488952636719,
+      "learning_rate": 2.7450428508239024e-06,
+      "loss": 177.0521,
+      "step": 25
+    },
+    {
+      "epoch": 1.9045454545454545,
+      "grad_norm": 16.73564910888672,
+      "learning_rate": 2.5e-06,
+      "loss": 176.88,
+      "step": 26
+    },
+    {
+      "epoch": 1.9772727272727273,
+      "grad_norm": 12.108444213867188,
+      "learning_rate": 2.2549571491760985e-06,
+      "loss": 177.0113,
+      "step": 27
+    },
+    {
+      "epoch": 2.0636363636363635,
+      "grad_norm": 8.554472923278809,
+      "learning_rate": 2.01227419495968e-06,
+      "loss": 177.4446,
+      "step": 28
+    },
+    {
+      "epoch": 2.1363636363636362,
+      "grad_norm": 10.85631275177002,
+      "learning_rate": 1.7742883068638447e-06,
+      "loss": 177.1802,
+      "step": 29
+    },
+    {
+      "epoch": 2.209090909090909,
+      "grad_norm": 14.837631225585938,
+      "learning_rate": 1.5432914190872757e-06,
+      "loss": 176.9142,
+      "step": 30
+    },
+    {
+      "epoch": 2.2818181818181817,
+      "grad_norm": 9.788156509399414,
+      "learning_rate": 1.3215081579350058e-06,
+      "loss": 177.2458,
+      "step": 31
+    },
+    {
+      "epoch": 2.3545454545454545,
+      "grad_norm": 11.079069137573242,
+      "learning_rate": 1.1110744174509952e-06,
+      "loss": 176.9877,
+      "step": 32
+    },
+    {
+      "epoch": 2.4272727272727272,
+      "grad_norm": 16.482282638549805,
+      "learning_rate": 9.140167895908867e-07,
+      "loss": 176.9381,
+      "step": 33
+    },
+    {
+      "epoch": 2.5,
+      "grad_norm": 10.067253112792969,
+      "learning_rate": 7.322330470336314e-07,
+      "loss": 177.285,
+      "step": 34
+    },
+    {
+      "epoch": 2.5727272727272728,
+      "grad_norm": 11.078865051269531,
+      "learning_rate": 5.674738665931575e-07,
+      "loss": 177.0016,
+      "step": 35
+    },
+    {
+      "epoch": 2.6454545454545455,
+      "grad_norm": 16.692411422729492,
+      "learning_rate": 4.2132596924363666e-07,
+      "loss": 176.9176,
+      "step": 36
+    },
+    {
+      "epoch": 2.7181818181818183,
+      "grad_norm": 10.563551902770996,
+      "learning_rate": 2.9519683912911267e-07,
+      "loss": 177.1848,
+      "step": 37
+    },
+    {
+      "epoch": 2.790909090909091,
+      "grad_norm": 11.62006950378418,
+      "learning_rate": 1.9030116872178317e-07,
+      "loss": 177.0615,
+      "step": 38
+    },
+    {
+      "epoch": 2.8636363636363638,
+      "grad_norm": 16.263059616088867,
+      "learning_rate": 1.0764916066947795e-07,
+      "loss": 176.8351,
+      "step": 39
+    },
+    {
+      "epoch": 2.9363636363636365,
+      "grad_norm": 10.237446784973145,
+      "learning_rate": 4.8036798991923925e-08,
+      "loss": 177.0669,
+      "step": 40
+    },
+    {
+      "epoch": 3.022727272727273,
+      "grad_norm": 10.748395919799805,
+      "learning_rate": 1.2038183319507957e-08,
+      "loss": 177.2956,
+      "step": 41
+    },
+    {
+      "epoch": 3.0954545454545457,
+      "grad_norm": 9.226285934448242,
+      "learning_rate": 0.0,
+      "loss": 177.237,
+      "step": 42
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 42,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 4,
+  "save_steps": 50,
+  "stateful_callbacks": {
+    "EarlyStoppingCallback": {
+      "args": {
+        "early_stopping_patience": 5,
+        "early_stopping_threshold": 0.0
+      },
+      "attributes": {
+        "early_stopping_patience_counter": 0
+      }
+    },
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 13977299976192.0,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}

last-checkpoint/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5de1b385203e3e335e33fa64e215c3214bdbf372161a220847a070b2566b1839
+size 6840