| --- |
| library_name: transformers |
| license: mit |
| base_model: unsloth/whisper-large-v3-turbo |
| tags: |
| - unsloth |
| - generated_from_trainer |
| model-index: |
| - name: language_classification_curricular_checkpoints |
| 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. --> |
|
|
| # language_classification_curricular_checkpoints |
| |
| This model is a fine-tuned version of [unsloth/whisper-large-v3-turbo](https://huggingface.co/unsloth/whisper-large-v3-turbo) on an unknown 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: 0.0002 |
| - train_batch_size: 6 |
| - eval_batch_size: 1 |
| - seed: 3407 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 24 |
| - optimizer: Use OptimizerNames.ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_steps: 69 |
| - num_epochs: 1 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.56.2 |
| - Pytorch 2.9.0+cu126 |
| - Datasets 3.6.0 |
| - Tokenizers 0.22.2 |
| |
