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# zephyr-7b-sft-lora

This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-alpha](https://huggingface.co/HuggingFaceH4/zephyr-7b-alpha) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1445

## 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: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 128
- total_train_batch_size: 4096
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.1612        | 0.36  | 16   | 2.1446          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.1+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
{"language": ["en"], "license": "mit", "library_name": "adapter-transformers", "tags": ["generated_from_trainer"], "base_model": "HuggingFaceH4/zephyr-7b-alpha", "model-index": [{"name": "zephyr-7b-sft-lora", "results": []}]}
adapter-transformers tensorboard safetensors generated_from_trainer en base_model:HuggingFaceH4/zephyr-7b-alpha license:mit region:us