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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-medium-BTC |
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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-medium-BTC |
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This model is a fine-tuned version of [openai/whisper-medium.en](https://huggingface.co/openai/whisper-medium.en) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3875 |
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- Wer: 6.5315 |
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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: 3e-06 |
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- train_batch_size: 32 |
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- eval_batch_size: 16 |
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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: 600 |
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- training_steps: 800 |
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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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| 0.7348 | 2.01 | 50 | 0.7378 | 9.3091 | |
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| 0.5276 | 4.02 | 100 | 0.5290 | 8.6125 | |
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| 0.3585 | 7.0 | 150 | 0.3875 | 6.5315 | |
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| 0.2924 | 9.01 | 200 | 0.3548 | 6.6779 | |
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| 0.2506 | 11.02 | 250 | 0.3364 | 6.7888 | |
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| 0.1946 | 14.01 | 300 | 0.3262 | 7.1482 | |
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| 0.1411 | 16.02 | 350 | 0.3329 | 7.2104 | |
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| 0.1005 | 19.0 | 400 | 0.3422 | 7.5565 | |
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| 0.0535 | 21.01 | 450 | 0.3532 | 7.1793 | |
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| 0.0259 | 23.02 | 500 | 0.3456 | 7.5121 | |
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| 0.0137 | 26.0 | 550 | 0.3587 | 7.6541 | |
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| 0.0078 | 28.02 | 600 | 0.3591 | 7.3524 | |
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| 0.0041 | 30.02 | 650 | 0.3672 | 7.3035 | |
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| 0.0026 | 33.01 | 700 | 0.3962 | 7.3213 | |
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| 0.0022 | 35.02 | 750 | 0.3997 | 7.3524 | |
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| 0.0022 | 38.0 | 800 | 0.4025 | 7.3302 | |
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### Framework versions |
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- Transformers 4.27.0.dev0 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.9.1.dev0 |
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- Tokenizers 0.13.2 |
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