| --- |
| library_name: transformers |
| license: gemma |
| base_model: MBZUAI-Paris/Atlas-Chat-9B |
| tags: |
| - trl |
| - sft |
| - generated_from_trainer |
| datasets: |
| - arrow |
| model-index: |
| - name: test6 |
| 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. --> |
|
|
| # test6 |
|
|
| 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 |
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| More information needed |
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| ## Intended uses & limitations |
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| More information needed |
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| ## Training and evaluation data |
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| More information needed |
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| ## Training procedure |
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| ### Training hyperparameters |
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| The following hyperparameters were used during training: |
| - learning_rate: 5e-05 |
| - train_batch_size: 2 |
| - eval_batch_size: 8 |
| - seed: 3407 |
| - distributed_type: multi-GPU |
| - num_devices: 8 |
| - gradient_accumulation_steps: 8 |
| - total_train_batch_size: 128 |
| - total_eval_batch_size: 64 |
| - optimizer: Use adafactor and the args are: |
| No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 3 |
|
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| ### Training results |
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| ### Framework versions |
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| - Transformers 4.48.3 |
| - Pytorch 2.1.0+cu121 |
| - Datasets 3.4.1 |
| - Tokenizers 0.21.1 |
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