---
license: llama3
library_name: peft
tags:
- generated_from_trainer
base_model: meta-llama/Meta-Llama-3-8B-Instruct
model-index:
- name: Meta-Llama-3-8B-Instruct-Verifier-logging
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Meta-Llama-3-8B-Instruct-Verifier-logging

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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0768

## 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.3094        | 0.2708 | 100  | 0.1257          |
| 0.099         | 0.5415 | 200  | 0.0854          |
| 0.0865        | 0.8123 | 300  | 0.0823          |
| 0.0842        | 1.0830 | 400  | 0.0813          |
| 0.082         | 1.3538 | 500  | 0.0808          |
| 0.0797        | 1.6245 | 600  | 0.0816          |
| 0.077         | 1.8953 | 700  | 0.0820          |
| 0.0771        | 2.1660 | 800  | 0.0828          |
| 0.0752        | 2.4368 | 900  | 0.0773          |
| 0.0749        | 2.7075 | 1000 | 0.0768          |
| 0.0713        | 2.9783 | 1100 | 0.0768          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.14.7
- Tokenizers 0.19.1