---
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_finred_llama3_v3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# cls_finred_llama3_v3

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: 0.4113

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 0.7177        | 0.1116 | 20   | 0.6751          |
| 0.6323        | 0.2232 | 40   | 0.6166          |
| 0.6119        | 0.3347 | 60   | 0.5802          |
| 0.5471        | 0.4463 | 80   | 0.5532          |
| 0.5299        | 0.5579 | 100  | 0.5321          |
| 0.5265        | 0.6695 | 120  | 0.5062          |
| 0.5306        | 0.7810 | 140  | 0.4888          |
| 0.5094        | 0.8926 | 160  | 0.4764          |
| 0.4769        | 1.0042 | 180  | 0.4640          |
| 0.342         | 1.1158 | 200  | 0.4644          |
| 0.3271        | 1.2273 | 220  | 0.4534          |
| 0.342         | 1.3389 | 240  | 0.4448          |
| 0.3659        | 1.4505 | 260  | 0.4395          |
| 0.3159        | 1.5621 | 280  | 0.4284          |
| 0.3356        | 1.6736 | 300  | 0.4248          |
| 0.3476        | 1.7852 | 320  | 0.4165          |
| 0.3168        | 1.8968 | 340  | 0.4113          |


### Framework versions

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