---
library_name: transformers
license: llama3
base_model: meta-llama/Meta-Llama-3-8B
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: llama_8b_lima_8
  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. -->

# llama_8b_lima_8

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 open_webui_dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7044

## 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: 8e-06
- train_batch_size: 3
- eval_batch_size: 3
- seed: 66
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 3
- total_train_batch_size: 18
- total_eval_batch_size: 6
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: polynomial
- lr_scheduler_warmup_steps: 25
- num_epochs: 1.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6211        | 0.1   | 35   | 0.9107          |
| 0.6976        | 0.2   | 70   | 0.8526          |
| 0.5762        | 0.3   | 105  | 0.7999          |
| 0.5226        | 0.4   | 140  | 0.7717          |
| 0.5866        | 0.5   | 175  | 0.7433          |
| 0.5999        | 0.6   | 210  | 0.7398          |
| 0.6464        | 0.7   | 245  | 0.7204          |
| 0.552         | 0.8   | 280  | 0.7107          |
| 0.5657        | 0.9   | 315  | 0.7130          |
| 0.5687        | 1.0   | 350  | 0.7044          |


### Framework versions

- Transformers 4.45.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.20.0