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--- |
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library_name: transformers |
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base_model: Ahmed107/whisper-small-ar-eos-v8 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: whisper-small-ar-eos-v8-eos-v12-2.5 |
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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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# whisper-small-ar-eos-v8-eos-v12-2.5 |
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This model is a fine-tuned version of [Ahmed107/whisper-small-ar-eos-v8](https://huggingface.co/Ahmed107/whisper-small-ar-eos-v8) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.3173 |
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- Accuracy: 0.6657 |
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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: 5e-06 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Use 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_ratio: 0.2 |
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- num_epochs: 30 |
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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 | Accuracy | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
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| 0.5805 | 1.0 | 506 | 0.7427 | 0.5 | |
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| 0.5596 | 2.0 | 1012 | 0.6658 | 0.6306 | |
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| 0.4595 | 3.0 | 1518 | 0.7195 | 0.6217 | |
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| 0.5451 | 4.0 | 2024 | 0.6221 | 0.6791 | |
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| 0.4334 | 5.0 | 2530 | 0.6253 | 0.6936 | |
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| 0.3446 | 6.0 | 3036 | 0.7335 | 0.6730 | |
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| 0.3106 | 7.0 | 3542 | 0.8420 | 0.6702 | |
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| 0.1988 | 8.0 | 4048 | 1.0634 | 0.6842 | |
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| 0.1554 | 9.0 | 4554 | 1.2181 | 0.6747 | |
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| 0.0698 | 10.0 | 5060 | 1.5398 | 0.6802 | |
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| 0.1746 | 11.0 | 5566 | 1.8350 | 0.6652 | |
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| 0.0639 | 12.0 | 6072 | 2.3253 | 0.6602 | |
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| 0.0004 | 13.0 | 6578 | 2.4828 | 0.6663 | |
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| 0.0338 | 14.0 | 7084 | 2.5842 | 0.6758 | |
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| 0.0006 | 15.0 | 7590 | 2.7395 | 0.6713 | |
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| 0.0002 | 16.0 | 8096 | 2.7720 | 0.6669 | |
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| 0.0001 | 17.0 | 8602 | 2.7865 | 0.6685 | |
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| 0.0002 | 18.0 | 9108 | 2.8497 | 0.6607 | |
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| 0.0002 | 19.0 | 9614 | 2.8792 | 0.6607 | |
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| 0.008 | 20.0 | 10120 | 2.9188 | 0.6691 | |
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| 0.0001 | 21.0 | 10626 | 2.7606 | 0.6920 | |
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| 0.0051 | 22.0 | 11132 | 3.0888 | 0.6669 | |
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| 0.0 | 23.0 | 11638 | 3.0709 | 0.6747 | |
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| 0.0 | 24.0 | 12144 | 3.1538 | 0.6730 | |
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| 0.0 | 25.0 | 12650 | 3.2574 | 0.6646 | |
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| 0.0 | 26.0 | 13156 | 3.2662 | 0.6663 | |
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| 0.0 | 27.0 | 13662 | 3.2635 | 0.6685 | |
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| 0.0 | 28.0 | 14168 | 3.2895 | 0.6669 | |
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| 0.0 | 29.0 | 14674 | 3.3094 | 0.6652 | |
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| 0.0 | 30.0 | 15180 | 3.3173 | 0.6657 | |
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### Framework versions |
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- Transformers 4.48.0.dev0 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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