---
library_name: transformers
license: other
base_model: ramzanniaz331/llama3.1-8b-8192-v3
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: llama3_8b_full_sft_ramzan
  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_sft_ramzan

This model is a fine-tuned version of [ramzanniaz331/llama3.1-8b-8192-v3](https://huggingface.co/ramzanniaz331/llama3.1-8b-8192-v3) on the ramzan_5k_batch_1, the ramzan_5k_batch_2, the ramzan_openhermes, the ramzan_metamath and the ramzan_aya_urdu datasets.

## 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: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- total_eval_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 2.0

### Training results



### Framework versions

- Transformers 4.57.1
- Pytorch 2.9.1+cu128
- Datasets 4.0.0
- Tokenizers 0.22.1