Upload folder using huggingface_hub

README.md

@@ -0,0 +1,238 @@
+---
+library_name: peft
+base_model: mistralai/Mistral-7B-Instruct-v0.1
+---
+
+# 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]
+- **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 Data 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 Data 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]
+
+
+## Training procedure
+
+
+The following `bitsandbytes` quantization config was used during training:
+- quant_method: bitsandbytes
+- load_in_8bit: False
+- load_in_4bit: True
+- llm_int8_threshold: 6.0
+- llm_int8_skip_modules: None
+- llm_int8_enable_fp32_cpu_offload: False
+- llm_int8_has_fp16_weight: False
+- bnb_4bit_quant_type: nf4
+- bnb_4bit_use_double_quant: False
+- bnb_4bit_compute_dtype: float16
+
+### Framework versions
+
+
+- PEFT 0.6.0
+## Training procedure
+
+
+The following `bitsandbytes` quantization config was used during training:
+- quant_method: bitsandbytes
+- load_in_8bit: False
+- load_in_4bit: True
+- llm_int8_threshold: 6.0
+- llm_int8_skip_modules: None
+- llm_int8_enable_fp32_cpu_offload: False
+- llm_int8_has_fp16_weight: False
+- bnb_4bit_quant_type: nf4
+- bnb_4bit_use_double_quant: False
+- bnb_4bit_compute_dtype: float16
+
+### Framework versions
+
+
+- PEFT 0.6.0

adapter_config.json

@@ -0,0 +1,23 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.1",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 32,
+  "lora_dropout": 0.1,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cc214d77e48fe37d5c7331fa5dff19e428628e7a225bd2fd06fc15bdc567cb4a
+size 27308941

optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3ace0243825602015ca38c06f1ea093aa2c883e104b73e4c5c3e77bf2dc6a9a1
+size 54633541

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c152074a486243089e4fc0fdee0a373a30fb0e0a6e40eb5fd0d36fdafc97a155
+size 443

rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b994ea2fe7656eae3bdc78f867f4496e60d163ba755584eb603a60cd0866296c
+size 14575

scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:88eaae226562ce5b360fdd68a9def1943a56b58b1d718c3a52e4fdc1c3e953a8
+size 627

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 +1,41 @@
+{
+  "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>",
+  "chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token + ' ' }}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": true,
+  "model_max_length": 1024,
+  "pad_token": "</s>",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": true
+}

trainer_state.json

@@ -0,0 +1,415 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 42.10526315789474,
+  "eval_steps": 500,
+  "global_step": 200,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.63,
+      "learning_rate": 0.0003,
+      "loss": 1.3677,
+      "step": 3
+    },
+    {
+      "epoch": 1.26,
+      "learning_rate": 0.0006,
+      "loss": 1.0177,
+      "step": 6
+    },
+    {
+      "epoch": 1.89,
+      "learning_rate": 0.0008,
+      "loss": 0.8893,
+      "step": 9
+    },
+    {
+      "epoch": 2.53,
+      "learning_rate": 0.001,
+      "loss": 1.0625,
+      "step": 12
+    },
+    {
+      "epoch": 3.16,
+      "learning_rate": 0.0013000000000000002,
+      "loss": 0.7547,
+      "step": 15
+    },
+    {
+      "epoch": 3.79,
+      "learning_rate": 0.0016,
+      "loss": 0.4742,
+      "step": 18
+    },
+    {
+      "epoch": 4.42,
+      "learning_rate": 0.0019,
+      "loss": 0.3748,
+      "step": 21
+    },
+    {
+      "epoch": 5.05,
+      "learning_rate": 0.001977777777777778,
+      "loss": 0.4516,
+      "step": 24
+    },
+    {
+      "epoch": 5.68,
+      "learning_rate": 0.0019555555555555554,
+      "loss": 0.3278,
+      "step": 27
+    },
+    {
+      "epoch": 6.32,
+      "learning_rate": 0.0019222222222222223,
+      "loss": 0.421,
+      "step": 30
+    },
+    {
+      "epoch": 6.95,
+      "learning_rate": 0.001888888888888889,
+      "loss": 0.2738,
+      "step": 33
+    },
+    {
+      "epoch": 7.58,
+      "learning_rate": 0.0018555555555555556,
+      "loss": 0.2307,
+      "step": 36
+    },
+    {
+      "epoch": 8.21,
+      "learning_rate": 0.0018222222222222223,
+      "loss": 0.2955,
+      "step": 39
+    },
+    {
+      "epoch": 8.84,
+      "learning_rate": 0.0018000000000000002,
+      "loss": 0.399,
+      "step": 42
+    },
+    {
+      "epoch": 9.47,
+      "learning_rate": 0.001788888888888889,
+      "loss": 0.6656,
+      "step": 45
+    },
+    {
+      "epoch": 10.11,
+      "learning_rate": 0.0017666666666666666,
+      "loss": 0.7389,
+      "step": 48
+    },
+    {
+      "epoch": 10.74,
+      "learning_rate": 0.0017333333333333335,
+      "loss": 0.1417,
+      "step": 51
+    },
+    {
+      "epoch": 11.37,
+      "learning_rate": 0.0017,
+      "loss": 0.2441,
+      "step": 54
+    },
+    {
+      "epoch": 12.0,
+      "learning_rate": 0.0016666666666666668,
+      "loss": 0.1786,
+      "step": 57
+    },
+    {
+      "epoch": 12.63,
+      "learning_rate": 0.0016333333333333334,
+      "loss": 0.0805,
+      "step": 60
+    },
+    {
+      "epoch": 13.26,
+      "learning_rate": 0.0016,
+      "loss": 0.1806,
+      "step": 63
+    },
+    {
+      "epoch": 13.89,
+      "learning_rate": 0.0015666666666666667,
+      "loss": 0.1011,
+      "step": 66
+    },
+    {
+      "epoch": 14.53,
+      "learning_rate": 0.0015333333333333334,
+      "loss": 0.08,
+      "step": 69
+    },
+    {
+      "epoch": 15.16,
+      "learning_rate": 0.0015,
+      "loss": 0.0982,
+      "step": 72
+    },
+    {
+      "epoch": 15.79,
+      "learning_rate": 0.0014666666666666667,
+      "loss": 0.1105,
+      "step": 75
+    },
+    {
+      "epoch": 16.42,
+      "learning_rate": 0.0014333333333333333,
+      "loss": 0.1103,
+      "step": 78
+    },
+    {
+      "epoch": 17.05,
+      "learning_rate": 0.0014,
+      "loss": 0.086,
+      "step": 81
+    },
+    {
+      "epoch": 17.68,
+      "learning_rate": 0.0013666666666666666,
+      "loss": 0.0764,
+      "step": 84
+    },
+    {
+      "epoch": 18.32,
+      "learning_rate": 0.0013333333333333333,
+      "loss": 0.0748,
+      "step": 87
+    },
+    {
+      "epoch": 18.95,
+      "learning_rate": 0.0013000000000000002,
+      "loss": 0.1183,
+      "step": 90
+    },
+    {
+      "epoch": 19.58,
+      "learning_rate": 0.0012666666666666666,
+      "loss": 0.059,
+      "step": 93
+    },
+    {
+      "epoch": 20.21,
+      "learning_rate": 0.0012333333333333335,
+      "loss": 0.0706,
+      "step": 96
+    },
+    {
+      "epoch": 20.84,
+      "learning_rate": 0.0012,
+      "loss": 0.0499,
+      "step": 99
+    },
+    {
+      "epoch": 21.47,
+      "learning_rate": 0.0011666666666666668,
+      "loss": 0.0406,
+      "step": 102
+    },
+    {
+      "epoch": 22.11,
+      "learning_rate": 0.0011333333333333334,
+      "loss": 0.0569,
+      "step": 105
+    },
+    {
+      "epoch": 22.74,
+      "learning_rate": 0.0011,
+      "loss": 0.0354,
+      "step": 108
+    },
+    {
+      "epoch": 23.37,
+      "learning_rate": 0.0010666666666666667,
+      "loss": 0.0362,
+      "step": 111
+    },
+    {
+      "epoch": 24.0,
+      "learning_rate": 0.0010333333333333334,
+      "loss": 0.0752,
+      "step": 114
+    },
+    {
+      "epoch": 24.63,
+      "learning_rate": 0.001,
+      "loss": 0.026,
+      "step": 117
+    },
+    {
+      "epoch": 25.26,
+      "learning_rate": 0.0009666666666666667,
+      "loss": 0.0418,
+      "step": 120
+    },
+    {
+      "epoch": 25.89,
+      "learning_rate": 0.0009333333333333333,
+      "loss": 0.0332,
+      "step": 123
+    },
+    {
+      "epoch": 26.53,
+      "learning_rate": 0.0009000000000000001,
+      "loss": 0.0245,
+      "step": 126
+    },
+    {
+      "epoch": 27.16,
+      "learning_rate": 0.0008666666666666667,
+      "loss": 0.036,
+      "step": 129
+    },
+    {
+      "epoch": 27.79,
+      "learning_rate": 0.0008333333333333334,
+      "loss": 0.0233,
+      "step": 132
+    },
+    {
+      "epoch": 28.42,
+      "learning_rate": 0.0008,
+      "loss": 0.0246,
+      "step": 135
+    },
+    {
+      "epoch": 29.05,
+      "learning_rate": 0.0007666666666666667,
+      "loss": 0.0249,
+      "step": 138
+    },
+    {
+      "epoch": 29.68,
+      "learning_rate": 0.0007333333333333333,
+      "loss": 0.0217,
+      "step": 141
+    },
+    {
+      "epoch": 30.32,
+      "learning_rate": 0.0007,
+      "loss": 0.0157,
+      "step": 144
+    },
+    {
+      "epoch": 30.95,
+      "learning_rate": 0.0006666666666666666,
+      "loss": 0.0185,
+      "step": 147
+    },
+    {
+      "epoch": 31.58,
+      "learning_rate": 0.0006333333333333333,
+      "loss": 0.0122,
+      "step": 150
+    },
+    {
+      "epoch": 32.21,
+      "learning_rate": 0.0006,
+      "loss": 0.0106,
+      "step": 153
+    },
+    {
+      "epoch": 32.84,
+      "learning_rate": 0.0005666666666666667,
+      "loss": 0.0143,
+      "step": 156
+    },
+    {
+      "epoch": 33.47,
+      "learning_rate": 0.0005333333333333334,
+      "loss": 0.0085,
+      "step": 159
+    },
+    {
+      "epoch": 34.11,
+      "learning_rate": 0.0005,
+      "loss": 0.011,
+      "step": 162
+    },
+    {
+      "epoch": 34.74,
+      "learning_rate": 0.00046666666666666666,
+      "loss": 0.0077,
+      "step": 165
+    },
+    {
+      "epoch": 35.37,
+      "learning_rate": 0.00043333333333333337,
+      "loss": 0.0075,
+      "step": 168
+    },
+    {
+      "epoch": 36.0,
+      "learning_rate": 0.0004,
+      "loss": 0.0062,
+      "step": 171
+    },
+    {
+      "epoch": 36.63,
+      "learning_rate": 0.00036666666666666667,
+      "loss": 0.0049,
+      "step": 174
+    },
+    {
+      "epoch": 37.26,
+      "learning_rate": 0.0003333333333333333,
+      "loss": 0.0057,
+      "step": 177
+    },
+    {
+      "epoch": 37.89,
+      "learning_rate": 0.0003,
+      "loss": 0.0068,
+      "step": 180
+    },
+    {
+      "epoch": 38.53,
+      "learning_rate": 0.0002666666666666667,
+      "loss": 0.0055,
+      "step": 183
+    },
+    {
+      "epoch": 39.16,
+      "learning_rate": 0.00023333333333333333,
+      "loss": 0.0046,
+      "step": 186
+    },
+    {
+      "epoch": 39.79,
+      "learning_rate": 0.0002,
+      "loss": 0.0053,
+      "step": 189
+    },
+    {
+      "epoch": 40.42,
+      "learning_rate": 0.00016666666666666666,
+      "loss": 0.004,
+      "step": 192
+    },
+    {
+      "epoch": 41.05,
+      "learning_rate": 0.00013333333333333334,
+      "loss": 0.005,
+      "step": 195
+    },
+    {
+      "epoch": 41.68,
+      "learning_rate": 0.0001,
+      "loss": 0.004,
+      "step": 198
+    }
+  ],
+  "logging_steps": 3,
+  "max_steps": 200,
+  "num_train_epochs": 50,
+  "save_steps": 500,
+  "total_flos": 3.4983817248768e+16,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b693d54307355778cd50ca42649f72c3996ebbf8ed2fa012e475c50e84d49904
+size 4027