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--- |
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language: |
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- vi |
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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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- VHM20191956-SpeechToText |
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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 Vietnamese Vu Hoang Manh |
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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 Vietnamese Vu Hoang Manh |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Vietnamese ASR dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0549 |
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- Wer: 8.9064 |
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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: 0.0003 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 50 |
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- training_steps: 5250 |
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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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| 0.1693 | 1.0 | 105 | 0.1621 | 224.6900 | |
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| 0.1317 | 2.0 | 210 | 0.0764 | 26.2683 | |
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| 0.0868 | 3.0 | 315 | 0.1650 | 26.3247 | |
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| 0.0645 | 4.0 | 420 | 0.0592 | 43.7993 | |
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| 0.0578 | 5.0 | 525 | 0.0755 | 41.0372 | |
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| 0.0342 | 6.0 | 630 | 0.0640 | 29.2559 | |
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| 0.0325 | 7.0 | 735 | 0.0514 | 13.1342 | |
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| 0.0397 | 8.0 | 840 | 0.0587 | 37.8241 | |
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| 0.0307 | 9.0 | 945 | 0.0628 | 32.1308 | |
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| 0.0215 | 10.0 | 1050 | 0.0742 | 23.8444 | |
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| 0.0268 | 11.0 | 1155 | 0.0710 | 35.6257 | |
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| 0.009 | 12.0 | 1260 | 0.0539 | 11.9504 | |
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| 0.0084 | 13.0 | 1365 | 0.0705 | 16.2345 | |
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| 0.0158 | 14.0 | 1470 | 0.0489 | 20.6877 | |
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| 0.0122 | 15.0 | 1575 | 0.0582 | 10.3720 | |
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| 0.0139 | 16.0 | 1680 | 0.0620 | 17.1928 | |
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| 0.0121 | 17.0 | 1785 | 0.0734 | 16.0654 | |
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| 0.0055 | 18.0 | 1890 | 0.0719 | 32.6381 | |
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| 0.0044 | 19.0 | 1995 | 0.0614 | 83.5964 | |
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| 0.0083 | 20.0 | 2100 | 0.0930 | 22.3224 | |
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| 0.0081 | 21.0 | 2205 | 0.0872 | 14.2616 | |
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| 0.0112 | 22.0 | 2310 | 0.0417 | 17.4183 | |
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| 0.0076 | 23.0 | 2415 | 0.0698 | 13.6979 | |
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| 0.0043 | 24.0 | 2520 | 0.0428 | 9.1319 | |
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| 0.0005 | 25.0 | 2625 | 0.0466 | 9.5829 | |
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| 0.0002 | 26.0 | 2730 | 0.0597 | 11.2176 | |
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| 0.0 | 27.0 | 2835 | 0.0527 | 10.0338 | |
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| 0.0 | 28.0 | 2940 | 0.0521 | 9.4138 | |
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| 0.0 | 29.0 | 3045 | 0.0523 | 9.4138 | |
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| 0.0 | 30.0 | 3150 | 0.0526 | 9.3574 | |
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| 0.0 | 31.0 | 3255 | 0.0527 | 9.4138 | |
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| 0.0 | 32.0 | 3360 | 0.0529 | 9.3574 | |
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| 0.0 | 33.0 | 3465 | 0.0531 | 9.3010 | |
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| 0.0 | 34.0 | 3570 | 0.0533 | 9.2446 | |
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| 0.0 | 35.0 | 3675 | 0.0535 | 9.1883 | |
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| 0.0 | 36.0 | 3780 | 0.0537 | 9.1319 | |
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| 0.0 | 37.0 | 3885 | 0.0538 | 9.0755 | |
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| 0.0 | 38.0 | 3990 | 0.0540 | 9.0192 | |
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| 0.0 | 39.0 | 4095 | 0.0541 | 9.0192 | |
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| 0.0 | 40.0 | 4200 | 0.0542 | 9.0192 | |
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| 0.0 | 41.0 | 4305 | 0.0543 | 9.0192 | |
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| 0.0 | 42.0 | 4410 | 0.0544 | 9.0192 | |
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| 0.0 | 43.0 | 4515 | 0.0545 | 8.9064 | |
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| 0.0 | 44.0 | 4620 | 0.0546 | 8.9064 | |
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| 0.0 | 45.0 | 4725 | 0.0547 | 8.9064 | |
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| 0.0 | 46.0 | 4830 | 0.0548 | 8.9064 | |
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| 0.0 | 47.0 | 4935 | 0.0549 | 8.9064 | |
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| 0.0 | 48.0 | 5040 | 0.0549 | 8.9064 | |
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| 0.0 | 49.0 | 5145 | 0.0549 | 8.7937 | |
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| 0.0 | 50.0 | 5250 | 0.0549 | 8.9064 | |
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### Framework versions |
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- Transformers 4.38.0.dev0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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