---
library_name: transformers
license: gemma
base_model: MBZUAI-Paris/Atlas-Chat-9B
tags:
- trl
- sft
- generated_from_trainer
datasets:
- arrow
model-index:
- name: test5
  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. -->

# test5

This model is a fine-tuned version of [MBZUAI-Paris/Atlas-Chat-9B](https://huggingface.co/MBZUAI-Paris/Atlas-Chat-9B) on the arrow 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 3407
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- total_eval_batch_size: 64
- optimizer: Use adafactor and the args are:
No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3

### Training results



### Framework versions

- Transformers 4.48.3
- Pytorch 2.1.0+cu121
- Datasets 3.4.1
- Tokenizers 0.21.1