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# mistral7b_instruct_generation

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7923

## 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: 0.0002
- 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: 0.03
- training_steps: 500

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8767        | 0.0   | 20   | 1.8407          |
| 1.8397        | 0.01  | 40   | 1.8076          |
| 1.7988        | 0.01  | 60   | 1.7989          |
| 1.8566        | 0.01  | 80   | 1.7985          |
| 1.8316        | 0.01  | 100  | 1.7973          |
| 1.8734        | 0.02  | 120  | 1.7949          |
| 1.9446        | 0.02  | 140  | 1.7959          |
| 1.8916        | 0.02  | 160  | 1.7950          |
| 1.8896        | 0.03  | 180  | 1.7961          |
| 1.7687        | 0.03  | 200  | 1.7966          |
| 1.825         | 0.03  | 220  | 1.7947          |
| 1.8208        | 0.03  | 240  | 1.7946          |
| 1.8415        | 0.04  | 260  | 1.8006          |
| 1.8307        | 0.04  | 280  | 1.7945          |
| 1.7744        | 0.04  | 300  | 1.8032          |
| 1.8652        | 0.04  | 320  | 1.7944          |
| 1.8168        | 0.05  | 340  | 1.8004          |
| 1.9034        | 0.05  | 360  | 1.7910          |
| 1.8184        | 0.05  | 380  | 1.7979          |
| 1.8892        | 0.06  | 400  | 1.7899          |
| 1.9097        | 0.06  | 420  | 1.8028          |
| 1.8249        | 0.06  | 440  | 1.8085          |
| 1.8871        | 0.06  | 460  | 1.7992          |
| 1.8306        | 0.07  | 480  | 1.8013          |
| 1.9512        | 0.07  | 500  | 1.7923          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
{"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistral7b_instruct_generation", "results": []}]}
peft tensorboard safetensors trl sft generated_from_trainer dataset:generator base_model:mistralai/Mistral-7B-v0.1 license:apache-2.0 region:us