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# cot_method2test-mistral-7B_v0

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7398

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2.5e-05
- train_batch_size: 2
- eval_batch_size: 8
- 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: linear
- lr_scheduler_warmup_steps: 5
- training_steps: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9073        | 2.67  | 10   | 1.4951          |
| 1.6109        | 5.33  | 20   | 1.4208          |
| 1.2815        | 8.0   | 30   | 1.3794          |
| 0.9683        | 10.67 | 40   | 1.3829          |
| 0.6975        | 13.33 | 50   | 1.4201          |
| 0.4513        | 16.0  | 60   | 1.4823          |
| 0.2964        | 18.67 | 70   | 1.5715          |
| 0.1858        | 21.33 | 80   | 1.6517          |
| 0.1355        | 24.0  | 90   | 1.7184          |
| 0.1086        | 26.67 | 100  | 1.7398          |


### Framework versions

- PEFT 0.7.2.dev0
- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
{"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "cot_method2test-mistral-7B_v0", "results": []}]}
peft tensorboard safetensors generated_from_trainer base_model:mistralai/Mistral-7B-v0.1 license:apache-2.0 region:us