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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: Baselhany/Graduation_Project_Distil_Whisper_base3 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: Graduation_Project_Distil_Whisper_base3 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Graduation_Project_Distil_Whisper_base3 |
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This model is a fine-tuned version of [Baselhany/Graduation_Project_Distil_Whisper_base3](https://huggingface.co/Baselhany/Graduation_Project_Distil_Whisper_base3) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1698 |
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- Wer: 0.3720 |
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## 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: |
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- learning_rate: 0.0001 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 15 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-------:|:----:|:---------------:|:------:| |
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| 1.4782 | 1.0 | 520 | 0.1344 | 0.4069 | |
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| 1.0405 | 2.0 | 1040 | 0.1495 | 0.4004 | |
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| 0.5482 | 3.0 | 1560 | 0.1573 | 0.3436 | |
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| 0.4041 | 4.0 | 2080 | 0.1587 | 0.4126 | |
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| 0.3115 | 5.0 | 2600 | 0.1569 | 0.3798 | |
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| 0.2612 | 6.0 | 3120 | 0.1515 | 0.4272 | |
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| 0.187 | 7.0 | 3640 | 0.1577 | 0.3917 | |
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| 0.1596 | 8.0 | 4160 | 0.1538 | 0.4334 | |
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| 0.1465 | 9.0 | 4680 | 0.1497 | 0.3771 | |
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| 0.1149 | 10.0 | 5200 | 0.1506 | 0.4192 | |
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| 0.0935 | 11.0 | 5720 | 0.1465 | 0.3974 | |
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| 0.0849 | 12.0 | 6240 | 0.1483 | 0.3979 | |
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| 0.0686 | 13.0 | 6760 | 0.1472 | 0.4237 | |
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| 0.0533 | 14.0 | 7280 | 0.1483 | 0.4251 | |
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| 0.0382 | 14.9726 | 7785 | 0.1498 | 0.4302 | |
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### Framework versions |
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- Transformers 4.51.3 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.1 |
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