---
license: llama3
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: meta-llama/Meta-Llama-3-8B-Instruct
datasets:
- generator
model-index:
- name: cls_headline_llama3_v1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# cls_headline_llama3_v1

This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2617

## 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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.3038        | 0.2353 | 20   | 0.2961          |
| 0.2899        | 0.4706 | 40   | 0.2809          |
| 0.2707        | 0.7059 | 60   | 0.2714          |
| 0.2615        | 0.9412 | 80   | 0.2697          |
| 0.2357        | 1.1765 | 100  | 0.2707          |
| 0.2377        | 1.4118 | 120  | 0.2667          |
| 0.2346        | 1.6471 | 140  | 0.2662          |
| 0.2357        | 1.8824 | 160  | 0.2617          |


### Framework versions

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