| --- |
| library_name: transformers |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: preflop |
| 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. --> |
|
|
| # preflop |
|
|
| This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
|
|
| ## Model description |
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| More information needed |
|
|
| ## Intended uses & limitations |
|
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| More information needed |
|
|
| ## Training and evaluation data |
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| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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| The following hyperparameters were used during training: |
| - learning_rate: 1e-05 |
| - train_batch_size: 100 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 2 |
| - mixed_precision_training: Native AMP |
|
|
| ### Framework versions |
|
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| - Transformers 4.46.0 |
| - Pytorch 2.1.1+cu121 |
| - Datasets 3.0.2 |
| - Tokenizers 0.20.1 |
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|
