---
library_name: peft
tags:
- llama-factory
- lora
- generated_from_trainer
base_model: meta-llama/Meta-Llama-3-8B
model-index:
- name: Llama3_AAID_new_mixed_train_final_3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Llama3_AAID_new_mixed_train_final_3

This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the AAID_new_mixed dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8350

## 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: 0.0003
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.211         | 0.0438 | 40   | 0.8553          |
| 0.4676        | 0.0875 | 80   | 0.8505          |
| 0.4316        | 0.1313 | 120  | 0.8581          |
| 0.4109        | 0.1750 | 160  | 0.8415          |
| 0.4033        | 0.2188 | 200  | 0.8380          |
| 0.3781        | 0.2625 | 240  | 0.8350          |
| 0.3722        | 0.3063 | 280  | 0.8509          |
| 0.3594        | 0.3500 | 320  | 0.9026          |
| 0.357         | 0.3938 | 360  | 0.9121          |
| 0.3297        | 0.4375 | 400  | 0.8975          |
| 0.3243        | 0.4813 | 440  | 0.9864          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1