---
license: llama2
base_model: TheBloke/llama-2-7B-Guanaco-QLoRA-AWQ
tags:
- generated_from_trainer
datasets:
- emotion
model-index:
- name: llama-2-7B-Guanaco-QLoRA-AWQ
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# llama-2-7B-Guanaco-QLoRA-AWQ

This model is a fine-tuned version of [TheBloke/llama-2-7B-Guanaco-QLoRA-AWQ](https://huggingface.co/TheBloke/llama-2-7B-Guanaco-QLoRA-AWQ) on the emotion dataset.

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
- label_smoothing_factor: 0.1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log        | 1.0   | 250  | 1.6793          | 0.3225   | 0.2723 |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1