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--- |
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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-ISSAI_KSC_335RS |
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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-ISSAI_KSC_335RS |
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This model was trained from scratch on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1140 |
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- Wer: 14.5474 |
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- Cer: 3.3911 |
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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: 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: 100 |
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- training_steps: 5001 |
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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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| 0.0918 | 0.11 | 500 | 0.1361 | 17.5287 | 4.1649 | |
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| 0.0795 | 0.22 | 1000 | 0.1327 | 16.8463 | 4.0455 | |
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| 0.0783 | 0.33 | 1500 | 0.1311 | 16.7385 | 3.9758 | |
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| 0.0699 | 0.43 | 2000 | 0.1273 | 16.5050 | 3.9360 | |
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| 0.0705 | 0.54 | 2500 | 0.1230 | 15.8944 | 3.8489 | |
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| 0.0622 | 0.65 | 3000 | 0.1194 | 16.2177 | 3.8514 | |
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| 0.0642 | 0.76 | 3500 | 0.1157 | 14.7989 | 3.5230 | |
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| 0.0697 | 0.87 | 4000 | 0.1152 | 15.1221 | 3.5802 | |
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| 0.0658 | 0.98 | 4500 | 0.1121 | 14.6731 | 3.4608 | |
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| 0.0271 | 1.09 | 5000 | 0.1140 | 14.5474 | 3.3911 | |
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### Framework versions |
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- Transformers 4.27.0.dev0 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.10.1 |
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- Tokenizers 0.13.2 |
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