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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: openai/whisper-small |
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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: whisper-small-CV_Fleurs_AMMI_ALFFA-sw-200hrs-v1 |
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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-CV_Fleurs_AMMI_ALFFA-sw-200hrs-v1 |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4605 |
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- Wer: 0.1870 |
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- Cer: 0.0746 |
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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-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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- optimizer: Use adamw_hf 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: 0.1 |
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- num_epochs: 100 |
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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 | Cer | |
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|:-------------:|:-----:|:------:|:---------------:|:------:|:------:| |
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| 1.3655 | 1.0 | 8064 | 0.4347 | 0.3461 | 0.1533 | |
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| 0.4274 | 2.0 | 16128 | 0.3388 | 0.1987 | 0.0715 | |
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| 0.2724 | 3.0 | 24192 | 0.3215 | 0.1789 | 0.0658 | |
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| 0.1953 | 4.0 | 32256 | 0.3383 | 0.1737 | 0.0632 | |
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| 0.1563 | 5.0 | 40320 | 0.3501 | 0.1856 | 0.0728 | |
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| 0.1368 | 6.0 | 48384 | 0.3699 | 0.1954 | 0.0870 | |
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| 0.127 | 7.0 | 56448 | 0.3858 | 0.1844 | 0.0711 | |
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| 0.1236 | 8.0 | 64512 | 0.4001 | 0.1905 | 0.0786 | |
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| 0.1216 | 9.0 | 72576 | 0.4121 | 0.1982 | 0.0809 | |
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| 0.1204 | 10.0 | 80640 | 0.4407 | 0.2144 | 0.0916 | |
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| 0.1123 | 11.0 | 88704 | 0.4334 | 0.1946 | 0.0798 | |
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| 0.0949 | 12.0 | 96768 | 0.4478 | 0.1869 | 0.0754 | |
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| 0.0808 | 13.0 | 104832 | 0.4396 | 0.1862 | 0.0762 | |
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| 0.0702 | 14.0 | 112896 | 0.4605 | 0.1870 | 0.0746 | |
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### Framework versions |
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- Transformers 4.46.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.1 |
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