---
license: llama2
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Llama-2-7B-Chat-GPTQ
model-index:
- name: Tweet_sentiment
  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. -->

# Tweet_sentiment

This model is a fine-tuned version of [TheBloke/Llama-2-7B-Chat-GPTQ](https://huggingface.co/TheBloke/Llama-2-7B-Chat-GPTQ) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6657

## 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 5.422         | 0.0457 | 2    | 5.1721          |
| 5.1534        | 0.0914 | 4    | 4.6225          |
| 4.5268        | 0.1371 | 6    | 4.0415          |
| 3.9455        | 0.1829 | 8    | 3.5294          |
| 3.4478        | 0.2286 | 10   | 3.1964          |
| 3.1897        | 0.2743 | 12   | 2.9354          |
| 2.8951        | 0.32   | 14   | 2.6721          |
| 2.5987        | 0.3657 | 16   | 2.4219          |
| 2.3629        | 0.4114 | 18   | 2.2606          |
| 2.1553        | 0.4571 | 20   | 2.1368          |
| 2.109         | 0.5029 | 22   | 2.0289          |
| 1.9611        | 0.5486 | 24   | 1.9382          |
| 1.8992        | 0.5943 | 26   | 1.8638          |
| 1.794         | 0.64   | 28   | 1.8066          |
| 1.7374        | 0.6857 | 30   | 1.7621          |
| 1.7599        | 0.7314 | 32   | 1.7268          |
| 1.769         | 0.7771 | 34   | 1.7006          |
| 1.6442        | 0.8229 | 36   | 1.6834          |
| 1.6242        | 0.8686 | 38   | 1.6730          |
| 1.7367        | 0.9143 | 40   | 1.6677          |
| 1.6649        | 0.96   | 42   | 1.6657          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.1.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1