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# zephyr-7b-sft-lora

This model is a fine-tuned version of [openaccess-ai-collective/tiny-mistral](https://huggingface.co/openaccess-ai-collective/tiny-mistral) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 10.4816

## 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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 128
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 10.4728       | 0.64  | 5    | 10.4816         |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1

{"tags": ["generated_from_trainer"], "base_model": "openaccess-ai-collective/tiny-mistral", "model-index": [{"name": "zephyr-7b-sft-lora", "results": []}]}
transformers tensorboard safetensors mistral text-generation generated_from_trainer conversational base_model:openaccess-ai-collective/tiny-mistral autotrain_compatible endpoints_compatible text-generation-inference region:us