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--- |
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library_name: transformers |
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language: |
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- fa |
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license: apache-2.0 |
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base_model: openai/whisper-base |
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tags: |
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- generated_from_trainer |
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datasets: |
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- mozilla-foundation/common_voice_20_0 |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-base-fa - Sadegh Karimi |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: Common Voice 20.0 |
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type: mozilla-foundation/common_voice_20_0 |
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args: 'config: fa, split: train, test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 18.008111901053315 |
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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-base-fa - Sadegh Karimi |
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Common Voice 20.0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1400 |
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- Wer: 18.0081 |
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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: 1e-05 |
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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: 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_steps: 500 |
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- training_steps: 40000 |
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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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| 0.524 | 0.0493 | 1000 | 0.5244 | 54.4099 | |
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| 0.4158 | 0.0986 | 2000 | 0.4063 | 45.3387 | |
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| 0.3568 | 0.1479 | 3000 | 0.3515 | 39.9380 | |
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| 0.3243 | 0.1972 | 4000 | 0.3176 | 36.2121 | |
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| 0.2978 | 0.2465 | 5000 | 0.2894 | 34.1671 | |
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| 0.2703 | 0.2958 | 6000 | 0.2691 | 32.6126 | |
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| 0.2591 | 0.3451 | 7000 | 0.2522 | 30.4674 | |
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| 0.2728 | 0.3944 | 8000 | 0.2388 | 29.0826 | |
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| 0.2299 | 0.4437 | 9000 | 0.2297 | 27.9737 | |
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| 0.2368 | 0.4930 | 10000 | 0.2186 | 26.9358 | |
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| 0.1997 | 0.5423 | 11000 | 0.2116 | 26.3267 | |
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| 0.2082 | 0.5916 | 12000 | 0.2052 | 25.6820 | |
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| 0.2131 | 0.6409 | 13000 | 0.2000 | 25.1361 | |
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| 0.1955 | 0.6902 | 14000 | 0.1966 | 24.4390 | |
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| 0.1945 | 0.7395 | 15000 | 0.1949 | 24.3110 | |
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| 0.2332 | 0.7888 | 16000 | 0.1985 | 25.1515 | |
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| 0.2037 | 0.8381 | 17000 | 0.1915 | 24.7845 | |
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| 0.2151 | 0.8874 | 18000 | 0.1869 | 24.0242 | |
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| 0.1982 | 0.9367 | 19000 | 0.1822 | 23.0002 | |
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| 0.1643 | 0.9860 | 20000 | 0.1776 | 22.7580 | |
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| 0.1388 | 1.0353 | 21000 | 0.1745 | 22.5051 | |
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| 0.1521 | 1.0846 | 22000 | 0.1715 | 22.1026 | |
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| 0.1404 | 1.1339 | 23000 | 0.1694 | 21.8158 | |
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| 0.1561 | 1.1832 | 24000 | 0.1680 | 21.8574 | |
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| 0.1349 | 1.2325 | 25000 | 0.1671 | 21.8960 | |
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| 0.1409 | 1.2818 | 26000 | 0.1728 | 22.0903 | |
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| 0.1587 | 1.3311 | 27000 | 0.1707 | 22.5329 | |
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| 0.1415 | 1.3804 | 28000 | 0.1658 | 21.4672 | |
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| 0.1553 | 1.4297 | 29000 | 0.1616 | 21.4503 | |
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| 0.1313 | 1.4790 | 30000 | 0.1589 | 20.6576 | |
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| 0.1358 | 1.5283 | 31000 | 0.1559 | 20.1471 | |
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| 0.1435 | 1.5776 | 32000 | 0.1521 | 19.7323 | |
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| 0.1341 | 1.6269 | 33000 | 0.1501 | 19.6027 | |
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| 0.1376 | 1.6762 | 34000 | 0.1481 | 18.8748 | |
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| 0.1232 | 1.7255 | 35000 | 0.1462 | 18.8486 | |
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| 0.1137 | 1.7748 | 36000 | 0.1441 | 18.6250 | |
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| 0.1149 | 1.8241 | 37000 | 0.1425 | 18.4122 | |
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| 0.1173 | 1.8734 | 38000 | 0.1415 | 18.2502 | |
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| 0.1253 | 1.9227 | 39000 | 0.1404 | 17.9233 | |
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| 0.1136 | 1.9720 | 40000 | 0.1400 | 18.0081 | |
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### Framework versions |
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- Transformers 4.48.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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