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# zephyr-7b-enem-nlp

This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4433

## 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: 4e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6904        | 2.13  | 100  | 1.4433          |


### Framework versions

- PEFT 0.7.1.dev0
- Transformers 4.36.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.7
- Tokenizers 0.15.0
{"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "HuggingFaceH4/zephyr-7b-beta", "model-index": [{"name": "zephyr-7b-enem-nlp", "results": []}]}
peft safetensors generated_from_trainer base_model:HuggingFaceH4/zephyr-7b-beta license:mit region:us