README.md

---
library_name: peft
license: llama3.1
base_model: meta-llama/Meta-Llama-3.1-8B
tags:
- base_model:adapter:meta-llama/Meta-Llama-3.1-8B
- lora
- transformers
model-index:
- name: Llama_StereoDetect_Model
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Llama_StereoDetect_Model

This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2245
- Pearson: 0.9717

## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- 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
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Pearson |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| No log        | 1.0   | 190  | 0.2520          | 0.9378  |
| No log        | 2.0   | 380  | 0.1941          | 0.9587  |
| 0.3006        | 3.0   | 570  | 0.1892          | 0.9609  |
| 0.3006        | 4.0   | 760  | 0.2140          | 0.9709  |
| 0.3006        | 5.0   | 950  | 0.2245          | 0.9717  |


### Framework versions

- PEFT 0.17.1
- Transformers 4.56.0
- Pytorch 2.4.0a0+f70bd71a48.nv24.06
- Datasets 4.0.0
- Tokenizers 0.22.0