Initial model commit.

.gitattributes

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+optimizer.pt filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+license: apache-2.0
+base_model: mistralai/Mistral-7B-Instruct-v0.2
+tags:
+- generated_from_trainer
+model-index:
+- name: mistral_fine_out
+  results: []
+---
+
+[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.3.0`
+```yaml
+base_model: mistralai/Mistral-7B-Instruct-v0.2
+model_type: MistralForCausalLM
+tokenizer_type: LlamaTokenizer
+is_mistral_derived_model: true
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+datasets:
+  - path: out/train_alpaca.jsonl
+    type:
+      alpaca
+dataset_prepared_path:
+val_set_size: 0.05
+output_dir: ./mistral_fine_out
+
+sequence_len: 8192
+sample_packing: true
+pad_to_sequence_len: true
+
+wandb_project:
+wandb_entity:
+wandb_watch:
+wandb_run_id:
+wandb_log_model:
+
+gradient_accumulation_steps: 4
+micro_batch_size: 2
+num_epochs: 4
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 0.000005
+
+train_on_inputs: false
+group_by_length: false
+bf16: true
+fp16: false
+tf32: false
+
+gradient_checkpointing: true
+early_stopping_patience:
+auto_resume_from_checkpoint: true
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+warmup_steps: 10
+eval_steps: 0.05
+eval_table_size:
+eval_table_max_new_tokens: 128
+save_steps:
+debug:
+deepspeed:
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens:
+  bos_token: "<s>"
+  eos_token: "</s>"
+  unk_token: "<unk>"
+model_config:
+  sliding_window: 4096
+
+```
+
+</details><br>
+
+The fine tuning script used for launch was from https://github.com/totallylegitco/healthinsurance-llm w/ run_remote.sh and an INPUT_MODEL=mistral
+
+
+# TotallyLegitCo/fighthealthinsurance_model_v0.3
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the [syntehtic-appeal](https://huggingface.co/datasets/TotallyLegitCo/synthetic-appeals) dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3954
+
+## Model description
+
+Generate health insurance appeals. Early work.
+
+## Intended uses & limitations
+
+Generate health insurance appeals. This is early work and may not be suitable for production.
+
+## Training and evaluation data
+
+The syntehtic appeal dataset was used for training and evaluation. Given how the dataset was produced there is likely cross-contamination of the training and eval datasets so loss values are likely understated.
+
+This model is intended to match the Mistral-7B-Instruct style with ```<s>[INST]Instructions[/INT]``` present (as well as system specific instructions within an extra ```<<SYS><</SYS>```.
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-06
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.0506        | 0.0   | 1    | 2.4510          |
+| 0.8601        | 0.2   | 58   | 1.1493          |
+| 0.8635        | 0.4   | 116  | 1.1356          |
+| 0.869         | 0.61  | 174  | 1.1174          |
+| 0.7764        | 0.81  | 232  | 1.1173          |
+| 0.7803        | 1.01  | 290  | 1.1124          |
+| 0.6902        | 1.2   | 348  | 1.1570          |
+| 0.6774        | 1.4   | 406  | 1.1591          |
+| 0.6859        | 1.6   | 464  | 1.1651          |
+| 0.725         | 1.81  | 522  | 1.1677          |
+| 0.6525        | 2.01  | 580  | 1.1686          |
+| 0.5069        | 2.2   | 638  | 1.2688          |
+| 0.4702        | 2.4   | 696  | 1.2767          |
+| 0.4888        | 2.6   | 754  | 1.2852          |
+| 0.5197        | 2.8   | 812  | 1.2881          |
+| 0.4734        | 3.01  | 870  | 1.2851          |
+| 0.3586        | 3.2   | 928  | 1.3856          |
+| 0.3889        | 3.4   | 986  | 1.3929          |
+| 0.3526        | 3.6   | 1044 | 1.3959          |
+| 0.3832        | 3.8   | 1102 | 1.3954          |
+
+
+### Framework versions
+
+- Transformers 4.37.0.dev0
+- Pytorch 2.0.1
+- Datasets 2.16.1
+- Tokenizers 0.15.0

config.json

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+{
+  "_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.37.0.dev0",
+  "use_cache": false,
+  "vocab_size": 32000
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.37.0.dev0"
+}

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