---
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_42
  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_42

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: 0.9014

## 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: 5e-06
- train_batch_size: 3
- eval_batch_size: 2
- seed: 66
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 6
- total_train_batch_size: 36
- 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 |
|:-------------:|:------:|:----:|:---------------:|
| 1.0356        | 0.0686 | 80   | 0.9711          |
| 1.0348        | 0.1372 | 160  | 0.9355          |
| 0.7212        | 0.2058 | 240  | 0.9225          |
| 0.8077        | 0.2744 | 320  | 0.9142          |
| 0.8442        | 0.3430 | 400  | 0.9068          |
| 0.831         | 0.4116 | 480  | 0.9032          |
| 0.9696        | 0.4802 | 560  | 0.8975          |
| 0.9949        | 0.5488 | 640  | 0.8972          |
| 0.8154        | 0.6174 | 720  | 0.8948          |
| 0.9682        | 0.6860 | 800  | 0.8931          |
| 0.9491        | 0.7546 | 880  | 0.9030          |
| 1.068         | 0.8232 | 960  | 0.9022          |
| 1.06          | 0.8918 | 1040 | 0.9013          |
| 0.8302        | 0.9604 | 1120 | 0.9002          |


### Framework versions

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