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--- |
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library_name: transformers |
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language: |
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- ne |
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license: apache-2.0 |
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base_model: openai/whisper-medium |
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tags: |
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- generated_from_trainer |
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datasets: |
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- kiranpantha/OpenSLR54-Whisper |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Medium Nepali - Kiran Pantha |
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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: OpenSLR54 |
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type: kiranpantha/OpenSLR54-Whisper |
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config: default |
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split: test |
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args: 'config: ne, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 21.99074074074074 |
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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 Medium Nepali - Kiran Pantha |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the OpenSLR54 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1608 |
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- Wer: 21.9907 |
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- Cer: 5.3068 |
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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: 5000 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Cer | Validation Loss | Wer | |
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|:-------------:|:------:|:----:|:-------:|:---------------:|:-------:| |
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| 0.2877 | 0.3597 | 300 | 13.1055 | 0.2588 | 48.6574 | |
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| 0.1865 | 0.7194 | 600 | 10.0741 | 0.2052 | 39.9537 | |
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| 0.1155 | 1.0791 | 900 | 8.1217 | 0.1633 | 31.8981 | |
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| 0.0992 | 1.4388 | 1200 | 7.6923 | 0.1577 | 30.6250 | |
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| 0.094 | 1.7986 | 1500 | 7.1969 | 0.1418 | 28.3796 | |
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| 0.0454 | 2.1583 | 1800 | 6.7308 | 0.1472 | 26.6898 | |
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| 0.0333 | 2.5180 | 2100 | 6.6353 | 0.1512 | 27.0602 | |
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| 0.0446 | 2.8777 | 2400 | 6.25 | 0.1409 | 25.5556 | |
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| 0.0204 | 3.2374 | 2700 | 6.5399 | 0.1513 | 25.8796 | |
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| 0.016 | 3.5971 | 3000 | 5.9674 | 0.1560 | 24.8380 | |
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| 0.0166 | 3.9568 | 3300 | 6.0592 | 0.1573 | 25.0926 | |
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| 0.0052 | 4.3165 | 3600 | 5.7802 | 0.1566 | 23.3796 | |
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| 0.0068 | 4.6763 | 3900 | 5.5233 | 0.1544 | 22.7083 | |
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| 0.0013 | 5.0360 | 4200 | 5.4756 | 0.1568 | 22.7546 | |
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| 0.001 | 5.3957 | 4500 | 0.1606 | 22.0139 | 5.3178 | |
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| 0.0017 | 5.7554 | 4800 | 0.1608 | 21.9907 | 5.3068 | |
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### Framework versions |
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- Transformers 4.46.3 |
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- Pytorch 2.5.1+cxx11.abi |
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- Datasets 3.2.0 |
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- Tokenizers 0.20.3 |
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