Upload folder using huggingface_hub

README.md

@@ -0,0 +1,202 @@
+---
+base_model: mistralai/Mistral-7B-v0.1
+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 0.12.0

adapter_config.json

@@ -0,0 +1,31 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "mistralai/Mistral-7B-v0.1",
+  "bias": "none",
+  "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": 64,
+  "lora_dropout": 0.0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "k_proj",
+    "v_proj",
+    "o_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": true
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f16141ee01947dac98e9b1f31c1752e28e95eafee0bef583d55376a24b5f6a92
+size 778120040

all_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 4.395604395604396,
+    "total_flos": 2.346392271495168e+16,
+    "train_loss": 0.7900543545186519,
+    "train_runtime": 395.7192,
+    "train_samples_per_second": 1.011,
+    "train_steps_per_second": 1.011
+}

special_tokens_map.json

@@ -0,0 +1,24 @@
+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "</s>",
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
+size 493443

tokenizer_config.json

@@ -0,0 +1,44 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": null,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [],
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "extra_special_tokens": {},
+  "legacy": false,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "</s>",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 4.395604395604396,
+    "total_flos": 2.346392271495168e+16,
+    "train_loss": 0.7900543545186519,
+    "train_runtime": 395.7192,
+    "train_samples_per_second": 1.011,
+    "train_steps_per_second": 1.011
+}

trainer_state.json

@@ -0,0 +1,322 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 4.395604395604396,
+  "eval_steps": 500,
+  "global_step": 400,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.10989010989010989,
+      "grad_norm": 39.3567008972168,
+      "learning_rate": 5e-05,
+      "loss": 2.3376,
+      "step": 10
+    },
+    {
+      "epoch": 0.21978021978021978,
+      "grad_norm": 33.74656677246094,
+      "learning_rate": 0.0001,
+      "loss": 1.9315,
+      "step": 20
+    },
+    {
+      "epoch": 0.32967032967032966,
+      "grad_norm": 27.993549346923828,
+      "learning_rate": 9.98292246503335e-05,
+      "loss": 1.8151,
+      "step": 30
+    },
+    {
+      "epoch": 0.43956043956043955,
+      "grad_norm": 21.74477195739746,
+      "learning_rate": 9.931806517013612e-05,
+      "loss": 1.872,
+      "step": 40
+    },
+    {
+      "epoch": 0.5494505494505495,
+      "grad_norm": 19.755979537963867,
+      "learning_rate": 9.847001329696653e-05,
+      "loss": 1.8517,
+      "step": 50
+    },
+    {
+      "epoch": 0.6593406593406593,
+      "grad_norm": 20.434335708618164,
+      "learning_rate": 9.729086208503174e-05,
+      "loss": 1.7677,
+      "step": 60
+    },
+    {
+      "epoch": 0.7692307692307693,
+      "grad_norm": 25.74063491821289,
+      "learning_rate": 9.578866633275288e-05,
+      "loss": 1.8213,
+      "step": 70
+    },
+    {
+      "epoch": 0.8791208791208791,
+      "grad_norm": 17.10032844543457,
+      "learning_rate": 9.397368756032445e-05,
+      "loss": 1.7723,
+      "step": 80
+    },
+    {
+      "epoch": 0.989010989010989,
+      "grad_norm": 33.695980072021484,
+      "learning_rate": 9.185832391312644e-05,
+      "loss": 2.0596,
+      "step": 90
+    },
+    {
+      "epoch": 1.098901098901099,
+      "grad_norm": 15.640459060668945,
+      "learning_rate": 8.945702546981969e-05,
+      "loss": 1.1268,
+      "step": 100
+    },
+    {
+      "epoch": 1.2087912087912087,
+      "grad_norm": 26.262723922729492,
+      "learning_rate": 8.678619553365659e-05,
+      "loss": 0.9613,
+      "step": 110
+    },
+    {
+      "epoch": 1.3186813186813187,
+      "grad_norm": 15.854419708251953,
+      "learning_rate": 8.386407858128706e-05,
+      "loss": 0.9361,
+      "step": 120
+    },
+    {
+      "epoch": 1.4285714285714286,
+      "grad_norm": 27.778255462646484,
+      "learning_rate": 8.07106356344834e-05,
+      "loss": 1.0273,
+      "step": 130
+    },
+    {
+      "epoch": 1.5384615384615383,
+      "grad_norm": 16.164613723754883,
+      "learning_rate": 7.734740790612136e-05,
+      "loss": 1.1037,
+      "step": 140
+    },
+    {
+      "epoch": 1.6483516483516483,
+      "grad_norm": 15.542110443115234,
+      "learning_rate": 7.379736965185368e-05,
+      "loss": 0.8837,
+      "step": 150
+    },
+    {
+      "epoch": 1.7582417582417582,
+      "grad_norm": 15.766905784606934,
+      "learning_rate": 7.008477123264848e-05,
+      "loss": 1.0111,
+      "step": 160
+    },
+    {
+      "epoch": 1.8681318681318682,
+      "grad_norm": 57.009246826171875,
+      "learning_rate": 6.623497346023418e-05,
+      "loss": 1.0153,
+      "step": 170
+    },
+    {
+      "epoch": 1.978021978021978,
+      "grad_norm": 15.751768112182617,
+      "learning_rate": 6.227427435703997e-05,
+      "loss": 0.8037,
+      "step": 180
+    },
+    {
+      "epoch": 2.087912087912088,
+      "grad_norm": 19.22091293334961,
+      "learning_rate": 5.8229729514036705e-05,
+      "loss": 0.5421,
+      "step": 190
+    },
+    {
+      "epoch": 2.197802197802198,
+      "grad_norm": 15.330540657043457,
+      "learning_rate": 5.4128967273616625e-05,
+      "loss": 0.4255,
+      "step": 200
+    },
+    {
+      "epoch": 2.3076923076923075,
+      "grad_norm": 9.73576831817627,
+      "learning_rate": 5e-05,
+      "loss": 0.4084,
+      "step": 210
+    },
+    {
+      "epoch": 2.4175824175824174,
+      "grad_norm": 16.217714309692383,
+      "learning_rate": 4.5871032726383386e-05,
+      "loss": 0.404,
+      "step": 220
+    },
+    {
+      "epoch": 2.5274725274725274,
+      "grad_norm": 10.539571762084961,
+      "learning_rate": 4.17702704859633e-05,
+      "loss": 0.3941,
+      "step": 230
+    },
+    {
+      "epoch": 2.6373626373626373,
+      "grad_norm": 15.391796112060547,
+      "learning_rate": 3.772572564296005e-05,
+      "loss": 0.4912,
+      "step": 240
+    },
+    {
+      "epoch": 2.7472527472527473,
+      "grad_norm": 6.761264801025391,
+      "learning_rate": 3.3765026539765834e-05,
+      "loss": 0.4452,
+      "step": 250
+    },
+    {
+      "epoch": 2.857142857142857,
+      "grad_norm": 9.737632751464844,
+      "learning_rate": 2.991522876735154e-05,
+      "loss": 0.3291,
+      "step": 260
+    },
+    {
+      "epoch": 2.967032967032967,
+      "grad_norm": 11.746859550476074,
+      "learning_rate": 2.6202630348146324e-05,
+      "loss": 0.517,
+      "step": 270
+    },
+    {
+      "epoch": 3.076923076923077,
+      "grad_norm": 6.522463321685791,
+      "learning_rate": 2.2652592093878666e-05,
+      "loss": 0.1371,
+      "step": 280
+    },
+    {
+      "epoch": 3.186813186813187,
+      "grad_norm": 9.481036186218262,
+      "learning_rate": 1.928936436551661e-05,
+      "loss": 0.0964,
+      "step": 290
+    },
+    {
+      "epoch": 3.2967032967032965,
+      "grad_norm": 10.724804878234863,
+      "learning_rate": 1.6135921418712956e-05,
+      "loss": 0.1651,
+      "step": 300
+    },
+    {
+      "epoch": 3.4065934065934065,
+      "grad_norm": 6.815920352935791,
+      "learning_rate": 1.3213804466343421e-05,
+      "loss": 0.1637,
+      "step": 310
+    },
+    {
+      "epoch": 3.5164835164835164,
+      "grad_norm": 7.7871527671813965,
+      "learning_rate": 1.0542974530180327e-05,
+      "loss": 0.1544,
+      "step": 320
+    },
+    {
+      "epoch": 3.6263736263736264,
+      "grad_norm": 7.341725826263428,
+      "learning_rate": 8.141676086873572e-06,
+      "loss": 0.1069,
+      "step": 330
+    },
+    {
+      "epoch": 3.7362637362637363,
+      "grad_norm": 7.6979265213012695,
+      "learning_rate": 6.026312439675552e-06,
+      "loss": 0.1391,
+      "step": 340
+    },
+    {
+      "epoch": 3.8461538461538463,
+      "grad_norm": 5.488590717315674,
+      "learning_rate": 4.2113336672471245e-06,
+      "loss": 0.1152,
+      "step": 350
+    },
+    {
+      "epoch": 3.956043956043956,
+      "grad_norm": 6.675556182861328,
+      "learning_rate": 2.7091379149682685e-06,
+      "loss": 0.1784,
+      "step": 360
+    },
+    {
+      "epoch": 4.065934065934066,
+      "grad_norm": 1.1604247093200684,
+      "learning_rate": 1.5299867030334814e-06,
+      "loss": 0.0785,
+      "step": 370
+    },
+    {
+      "epoch": 4.175824175824176,
+      "grad_norm": 3.3119144439697266,
+      "learning_rate": 6.819348298638839e-07,
+      "loss": 0.063,
+      "step": 380
+    },
+    {
+      "epoch": 4.285714285714286,
+      "grad_norm": 3.629910469055176,
+      "learning_rate": 1.7077534966650766e-07,
+      "loss": 0.0585,
+      "step": 390
+    },
+    {
+      "epoch": 4.395604395604396,
+      "grad_norm": 2.2006313800811768,
+      "learning_rate": 0.0,
+      "loss": 0.0917,
+      "step": 400
+    },
+    {
+      "epoch": 4.395604395604396,
+      "step": 400,
+      "total_flos": 2.346392271495168e+16,
+      "train_loss": 0.7900543545186519,
+      "train_runtime": 395.7192,
+      "train_samples_per_second": 1.011,
+      "train_steps_per_second": 1.011
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 400,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 5,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 2.346392271495168e+16,
+  "train_batch_size": 1,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f7884ecf5bf5bf1c7036fd5b24436d0ee68045d714a805ae04c4b4a8e9cf17d3
+size 5624