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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: 0.3882 |
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- Wer: 6.6247 |
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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: 4e-07 |
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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: 300 |
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- training_steps: 350 |
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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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| 0.8163 | 1.01 | 25 | 0.8356 | 10.0635 | |
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| 0.7916 | 2.02 | 50 | 0.8102 | 9.7351 | |
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| 0.7563 | 3.03 | 75 | 0.7621 | 9.5088 | |
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| 0.7154 | 4.05 | 100 | 0.7107 | 9.2337 | |
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| 0.6548 | 5.06 | 125 | 0.6589 | 9.3801 | |
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| 0.6017 | 7.01 | 150 | 0.6062 | 9.0074 | |
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| 0.5333 | 8.02 | 175 | 0.5347 | 8.6214 | |
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| 0.4493 | 9.03 | 200 | 0.4738 | 8.2842 | |
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| 0.4016 | 10.04 | 225 | 0.4333 | 7.1172 | |
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| 0.3738 | 11.05 | 250 | 0.4057 | 6.7001 | |
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| 0.3544 | 13.01 | 275 | 0.3882 | 6.6247 | |
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| 0.3294 | 14.02 | 300 | 0.3764 | 6.6957 | |
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| 0.313 | 15.03 | 325 | 0.3692 | 6.6602 | |
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| 0.3023 | 16.04 | 350 | 0.3668 | 6.6468 | |
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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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