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# shawgpt-ft

This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3452

## 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: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.835         | 0.92  | 3    | 1.6209          |
| 1.5582        | 1.85  | 6    | 1.4669          |
| 1.4134        | 2.77  | 9    | 1.4097          |
| 1.0236        | 4.0   | 13   | 1.3833          |
| 1.3239        | 4.92  | 16   | 1.3667          |
| 1.3119        | 5.85  | 19   | 1.3564          |
| 1.2909        | 6.77  | 22   | 1.3496          |
| 0.9359        | 8.0   | 26   | 1.3463          |
| 1.251         | 8.92  | 29   | 1.3454          |
| 0.7772        | 9.23  | 30   | 1.3452          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ", "model-index": [{"name": "shawgpt-ft", "results": []}]}
tensorboard safetensors generated_from_trainer base_model:TheBloke/Mistral-7B-Instruct-v0.2-GPTQ license:apache-2.0 region:us