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--- |
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license: apache-2.0 |
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tags: |
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- whisper-event |
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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-et-ERR2020 |
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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-et-ERR2020 |
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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: 0.5321 |
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- Wer: 22.8462 |
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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: 64 |
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- eval_batch_size: 32 |
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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: 1000 |
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- training_steps: 10000 |
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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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| 0.3387 | 0.1 | 1000 | 0.5383 | 33.8216 | |
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| 0.1393 | 0.2 | 2000 | 0.4897 | 27.7546 | |
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| 0.0982 | 0.3 | 3000 | 0.5477 | 26.7815 | |
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| 0.0912 | 1.02 | 4000 | 0.5195 | 24.8816 | |
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| 0.0811 | 1.12 | 5000 | 0.5373 | 25.9282 | |
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| 0.0649 | 1.22 | 6000 | 0.5422 | 23.7285 | |
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| 0.0618 | 1.32 | 7000 | 0.5504 | 23.5179 | |
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| 0.0558 | 2.03 | 8000 | 0.5321 | 22.8462 | |
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| 0.0452 | 2.13 | 9000 | 0.5543 | 23.5813 | |
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| 0.0462 | 2.23 | 10000 | 0.5424 | 22.8830 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.12.1+rocm5.1.1 |
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- Datasets 2.7.1.dev0 |
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- Tokenizers 0.13.2 |
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