---
library_name: peft
license: llama3.1
base_model: meta-llama/Llama-3.1-8B-Instruct
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: llama-7b-stance
  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-7b-stance

This model is a fine-tuned version of [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0488
- Accuracy: 0.5583
- Precision: 0.5489
- Recall: 0.5339
- F1: 0.5316

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| No log        | 1.0   | 23   | 1.6614          | 0.3502   | 0.3641    | 0.3722 | 0.3428 |
| No log        | 2.0   | 46   | 1.3645          | 0.4305   | 0.4308    | 0.4285 | 0.4071 |
| No log        | 3.0   | 69   | 1.1866          | 0.4893   | 0.4687    | 0.4613 | 0.4567 |
| No log        | 4.0   | 92   | 1.1019          | 0.5343   | 0.5079    | 0.4942 | 0.4964 |
| No log        | 5.0   | 115  | 1.0842          | 0.5516   | 0.5335    | 0.4926 | 0.4995 |
| No log        | 6.0   | 138  | 1.0671          | 0.5634   | 0.5589    | 0.5165 | 0.5210 |
| No log        | 7.0   | 161  | 1.0930          | 0.5435   | 0.5430    | 0.5265 | 0.5195 |
| No log        | 8.0   | 184  | 1.0652          | 0.5440   | 0.5324    | 0.5368 | 0.5260 |
| No log        | 9.0   | 207  | 1.0162          | 0.5619   | 0.5352    | 0.5279 | 0.5295 |
| No log        | 10.0  | 230  | 1.0488          | 0.5583   | 0.5489    | 0.5339 | 0.5316 |


### Framework versions

- PEFT 0.14.0
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0