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# gptq-small-nids-out

This model is a fine-tuned version of [TheBloke/Llama-2-7B-GPTQ](https://huggingface.co/TheBloke/Llama-2-7B-GPTQ) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0027

## 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: 1.7e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 4
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0028        | 1.0   | 371  | 0.0027          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.6
- Tokenizers 0.14.1

{"license": "llama2", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Llama-2-7B-GPTQ", "model-index": [{"name": "gptq-small-nids-out", "results": []}]}
transformers tensorboard llama text-generation generated_from_trainer base_model:TheBloke/Llama-2-7B-GPTQ license:llama2 autotrain_compatible endpoints_compatible text-generation-inference 4-bit region:us