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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-tiny-v2-ta_50 |
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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-tiny-v2-ta_50 |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2683 |
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- Wer: 31.0896 |
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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: 0.00015 |
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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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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 32 |
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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: 3000 |
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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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| 0.4405 | 0.11 | 300 | 0.4624 | 105.3753 | |
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| 0.3629 | 0.21 | 600 | 0.4473 | 40.7264 | |
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| 0.3163 | 0.32 | 900 | 0.3771 | 35.1090 | |
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| 0.279 | 0.42 | 1200 | 0.3547 | 34.9153 | |
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| 0.2594 | 0.53 | 1500 | 0.3311 | 31.6223 | |
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| 0.2284 | 0.63 | 1800 | 0.3131 | 29.3947 | |
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| 0.2294 | 0.74 | 2100 | 0.2863 | 27.5061 | |
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| 0.2022 | 0.84 | 2400 | 0.2735 | 27.2155 | |
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| 0.185 | 0.95 | 2700 | 0.2683 | 31.0896 | |
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### Framework versions |
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- Transformers 4.28.0.dev0 |
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- Pytorch 1.12.1 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.3 |
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