---
license: llama3
library_name: peft
tags:
- generated_from_trainer
base_model: gradientai/Llama-3-8B-Instruct-262k
metrics:
- accuracy
model-index:
- name: th_cl_23epochs_lora_pos_neg
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# th_cl_23epochs_lora_pos_neg

This model is a fine-tuned version of [gradientai/Llama-3-8B-Instruct-262k](https://huggingface.co/gradientai/Llama-3-8B-Instruct-262k) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1121
- Balanced Accuracy: 0.47
- Accuracy: 0.4667

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Balanced Accuracy | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:-----------------:|:--------:|
| 0.5546        | 1.0   | 32   | 1.0124          | 0.4911            | 0.4889   |
| 0.3157        | 2.0   | 64   | 1.0066          | 0.4722            | 0.4667   |
| 0.1355        | 3.0   | 96   | 0.9881          | 0.5977            | 0.6      |
| 0.0512        | 4.0   | 128  | 1.1006          | 0.5536            | 0.5556   |
| 0.0605        | 5.0   | 160  | 1.1121          | 0.47              | 0.4667   |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1