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# mistral_instruct_moder_finetune

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0076

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 0.01
- training_steps: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9644        | 0.02  | 2    | 2.0095          |
| 1.9939        | 0.04  | 4    | 2.0091          |
| 1.9739        | 0.07  | 6    | 2.0086          |
| 2.1311        | 0.09  | 8    | 2.0081          |
| 1.7755        | 0.11  | 10   | 2.0076          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.6
- Tokenizers 0.15.0
{"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.1", "model-index": [{"name": "mistral_instruct_moder_finetune", "results": []}]}
peft safetensors trl sft generated_from_trainer dataset:generator base_model:mistralai/Mistral-7B-Instruct-v0.1 license:apache-2.0 region:us