---
base_model: meta-llama/Meta-Llama-3.1-8B
library_name: peft
license: llama3.1
metrics:
- accuracy
tags:
- trl
- reward-trainer
- generated_from_trainer
model-index:
- name: run-llama
  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. -->

# run-llama

This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4304
- Accuracy: 0.7917

## 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: 1e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 200

### Training results

| Training Loss | Epoch  | Step | Accuracy | Validation Loss |
|:-------------:|:------:|:----:|:--------:|:---------------:|
| 0.6426        | 0.1130 | 10   | 0.5625   | 0.6485          |
| 0.6074        | 0.2260 | 20   | 0.6319   | 0.5821          |
| 0.4355        | 0.3390 | 30   | 0.7153   | 0.4967          |
| 0.5957        | 0.4520 | 40   | 0.7569   | 0.4683          |
| 0.3984        | 0.5650 | 50   | 0.7431   | 0.4616          |
| 0.4795        | 0.9836 | 60   | 0.7361   | 0.4514          |
| 0.3154        | 1.1475 | 70   | 0.7292   | 0.4393          |
| 0.3086        | 1.3115 | 80   | 0.75     | 0.4339          |
| 0.499         | 1.4754 | 90   | 0.7569   | 0.4281          |
| 0.2642        | 1.6393 | 100  | 0.7847   | 0.4281          |
| 0.2173        | 1.8033 | 110  | 0.7708   | 0.4200          |
| 0.3281        | 1.9672 | 120  | 0.7847   | 0.4151          |
| 0.2329        | 3.4211 | 130  | 0.7847   | 0.4172          |
| 0.2891        | 3.6842 | 140  | 0.7847   | 0.4202          |
| 0.3906        | 3.9474 | 150  | 0.7708   | 0.4285          |
| 0.2373        | 4.1026 | 160  | 0.4338   | 0.7778          |
| 0.2144        | 4.3590 | 170  | 0.4312   | 0.7847          |
| 0.2715        | 4.6154 | 180  | 0.4300   | 0.7847          |
| 0.1855        | 4.8718 | 190  | 0.4327   | 0.7917          |
| 0.3506        | 5.1282 | 200  | 0.4304   | 0.7917          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1