---
library_name: transformers
license: llama3.1
base_model: meta-llama/Llama-3.1-8B
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: llama_8b_lima_43
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# llama_8b_lima_43

This model is a fine-tuned version of [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) on the open_webui_dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9357

## 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: 5.5e-06
- train_batch_size: 3
- eval_batch_size: 2
- seed: 66
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 5
- total_train_batch_size: 30
- total_eval_batch_size: 4
- optimizer: Use OptimizerNames.ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: polynomial
- lr_scheduler_warmup_steps: 50
- num_epochs: 1.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.0422        | 0.0750 | 80   | 1.0044          |
| 0.9127        | 0.1500 | 160  | 0.9607          |
| 0.8605        | 0.2251 | 240  | 0.9440          |
| 0.9068        | 0.3001 | 320  | 0.9343          |
| 0.9147        | 0.3751 | 400  | 0.9293          |
| 1.0192        | 0.4501 | 480  | 0.9250          |
| 0.8303        | 0.5251 | 560  | 0.9192          |
| 1.0284        | 0.6002 | 640  | 0.9292          |
| 0.9183        | 0.6752 | 720  | 0.9389          |
| 0.9897        | 0.7502 | 800  | 0.9337          |
| 1.0209        | 0.8252 | 880  | 0.9390          |
| 0.9118        | 0.9002 | 960  | 0.9374          |
| 0.9077        | 0.9752 | 1040 | 0.9356          |


### Framework versions

- Transformers 4.46.1
- Pytorch 2.4.0
- Datasets 3.1.0
- Tokenizers 0.20.3