---
base_model: meta-llama/Meta-Llama-3-8B
datasets:
- generator
library_name: peft
license: llama3
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Llama3_no_extraction_V2
  results: []
---

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# Llama3_no_extraction_V2

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 generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3288

## 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: 5e-05
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.9903 | 51   | 1.3462          |
| No log        | 2.0    | 103  | 1.3212          |
| No log        | 2.9903 | 154  | 1.3157          |
| No log        | 4.0    | 206  | 1.3153          |
| No log        | 4.9903 | 257  | 1.3163          |
| No log        | 6.0    | 309  | 1.3196          |
| No log        | 6.9903 | 360  | 1.3231          |
| No log        | 8.0    | 412  | 1.3249          |
| No log        | 8.9903 | 463  | 1.3273          |
| 1.1964        | 9.9029 | 510  | 1.3288          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1