| | --- |
| | library_name: transformers |
| | license: gemma |
| | base_model: MBZUAI-Paris/Atlas-Chat-9B |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - arrow |
| | model-index: |
| | - name: test |
| | 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. --> |
| |
|
| | # test |
| |
|
| | 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: 8 |
| | - total_train_batch_size: 64 |
| | - total_eval_batch_size: 64 |
| | - optimizer: Use adafactor and the args are: |
| | No additional optimizer arguments |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_ratio: 0.03 |
| | - num_epochs: 3 |
| | |
| | ### Training results |
| | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.49.0 |
| | - Pytorch 2.1.0+cu121 |
| | - Datasets 3.4.1 |
| | - Tokenizers 0.21.1 |
| | |
