---
library_name: transformers
license: llama3
base_model: shuoxing/llama3-8b-full-pretrain-junk-tweet-1m-en-reproduce-bs8
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: llama3-8b-full-pretrain-wash-c4-2-4m-bs4
  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. -->

# llama3-8b-full-pretrain-wash-c4-2-4m-bs4

This model is a fine-tuned version of [shuoxing/llama3-8b-full-pretrain-junk-tweet-1m-en-reproduce-bs8](https://huggingface.co/shuoxing/llama3-8b-full-pretrain-junk-tweet-1m-en-reproduce-bs8) on the c4_2_4m dataset.

## 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: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 4
- total_eval_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 3.0

### Training results



### Framework versions

- Transformers 5.2.0
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.22.2