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# mistral-7b-ft-adapters

This model is a fine-tuned version of [alexsherstinsky/Mistral-7B-v0.1-sharded](https://huggingface.co/alexsherstinsky/Mistral-7B-v0.1-sharded) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4351

## 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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9467        | 0.95  | 15   | 0.4658          |
| 0.3846        | 1.9   | 30   | 0.4351          |


### Framework versions

- PEFT 0.7.2.dev0
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
{"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "alexsherstinsky/Mistral-7B-v0.1-sharded", "model-index": [{"name": "mistral-7b-ft-adapters", "results": []}]}
peft safetensors trl sft generated_from_trainer base_model:alexsherstinsky/Mistral-7B-v0.1-sharded license:apache-2.0 region:us