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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- common_voice_13_0 |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-small-ne-NP |
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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_13_0 |
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type: common_voice_13_0 |
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config: ne-NP |
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split: test |
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args: ne-NP |
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metrics: |
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- name: Wer |
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type: wer |
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value: 57.38758029978587 |
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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-ne-NP |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_13_0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6005 |
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- Wer: 57.3876 |
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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: 4 |
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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: 500 |
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- training_steps: 4000 |
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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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| 0.9935 | 0.17 | 100 | 1.3460 | 91.4347 | |
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| 0.6624 | 0.35 | 200 | 1.0307 | 85.6531 | |
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| 0.5002 | 0.52 | 300 | 0.8406 | 77.5161 | |
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| 0.4426 | 0.7 | 400 | 0.7038 | 76.2313 | |
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| 0.3063 | 0.87 | 500 | 0.5308 | 71.5203 | |
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| 0.1949 | 1.05 | 600 | 0.5200 | 66.1670 | |
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| 0.1974 | 1.22 | 700 | 0.5140 | 65.0964 | |
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| 0.1734 | 1.4 | 800 | 0.4423 | 67.6660 | |
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| 0.1619 | 1.57 | 900 | 0.4705 | 62.0985 | |
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| 0.1697 | 1.75 | 1000 | 0.4676 | 67.0236 | |
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| 0.1536 | 1.92 | 1100 | 0.4441 | 62.7409 | |
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| 0.0722 | 2.1 | 1200 | 0.4492 | 58.0300 | |
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| 0.0674 | 2.27 | 1300 | 0.4597 | 59.9572 | |
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| 0.0766 | 2.45 | 1400 | 0.4720 | 62.3126 | |
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| 0.0732 | 2.62 | 1500 | 0.4720 | 60.5996 | |
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| 0.0737 | 2.8 | 1600 | 0.4704 | 61.0278 | |
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| 0.0833 | 2.97 | 1700 | 0.4711 | 59.7430 | |
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| 0.0421 | 3.15 | 1800 | 0.5040 | 60.5996 | |
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| 0.0444 | 3.32 | 1900 | 0.5096 | 62.5268 | |
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| 0.0343 | 3.5 | 2000 | 0.5276 | 62.5268 | |
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| 0.0347 | 3.67 | 2100 | 0.5068 | 57.3876 | |
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| 0.0326 | 3.85 | 2200 | 0.5143 | 59.3148 | |
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| 0.0219 | 4.02 | 2300 | 0.5225 | 59.3148 | |
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| 0.0129 | 4.2 | 2400 | 0.5353 | 59.1006 | |
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| 0.0159 | 4.37 | 2500 | 0.5639 | 56.9593 | |
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| 0.0168 | 4.55 | 2600 | 0.5303 | 55.8887 | |
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| 0.0131 | 4.72 | 2700 | 0.5455 | 58.6724 | |
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| 0.0122 | 4.9 | 2800 | 0.5548 | 56.5310 | |
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| 0.0035 | 5.07 | 2900 | 0.5661 | 56.7452 | |
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| 0.0027 | 5.24 | 3000 | 0.5789 | 57.6017 | |
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| 0.0034 | 5.42 | 3100 | 0.5887 | 59.1006 | |
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| 0.0047 | 5.59 | 3200 | 0.5853 | 59.9572 | |
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| 0.0054 | 5.77 | 3300 | 0.5912 | 58.4582 | |
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| 0.0042 | 5.94 | 3400 | 0.5862 | 59.3148 | |
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| 0.0013 | 6.12 | 3500 | 0.5935 | 56.7452 | |
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| 0.001 | 6.29 | 3600 | 0.5991 | 57.3876 | |
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| 0.0008 | 6.47 | 3700 | 0.6012 | 57.6017 | |
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| 0.0014 | 6.64 | 3800 | 0.6002 | 57.8158 | |
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| 0.001 | 6.82 | 3900 | 0.6006 | 57.8158 | |
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| 0.0013 | 6.99 | 4000 | 0.6005 | 57.3876 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- Pytorch 2.0.0 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.3 |
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