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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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metrics: |
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- wer |
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model-index: |
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- name: whisper-small-sp |
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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-sp |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3776 |
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- Wer: 20.8004 |
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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: 0.0005 |
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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: 500 |
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- training_steps: 15000 |
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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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| 2.2671 | 0.13 | 1000 | 2.2108 | 76.2667 | |
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| 1.4465 | 0.26 | 2000 | 1.6057 | 67.8753 | |
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| 1.0997 | 0.39 | 3000 | 1.1928 | 54.2433 | |
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| 0.9389 | 0.52 | 4000 | 1.0020 | 47.8307 | |
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| 0.7881 | 0.65 | 5000 | 0.8933 | 46.0046 | |
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| 0.7596 | 0.78 | 6000 | 0.7721 | 38.5595 | |
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| 0.5678 | 0.91 | 7000 | 0.6903 | 36.2897 | |
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| 0.4412 | 1.04 | 8000 | 0.6476 | 32.7473 | |
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| 0.4239 | 1.17 | 9000 | 0.5973 | 30.8142 | |
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| 0.3935 | 1.3 | 10000 | 0.5444 | 29.0208 | |
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| 0.3307 | 1.43 | 11000 | 0.5024 | 27.0434 | |
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| 0.2937 | 1.56 | 12000 | 0.4608 | 24.7318 | |
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| 0.2471 | 1.69 | 13000 | 0.4259 | 22.8940 | |
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| 0.2357 | 1.82 | 14000 | 0.3936 | 21.6018 | |
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| 0.2292 | 1.95 | 15000 | 0.3776 | 20.8004 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.13.0+cu117 |
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- Datasets 2.7.1 |
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- Tokenizers 0.13.2 |
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