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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: openai/whisper-medium |
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tags: |
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- generated_from_trainer |
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datasets: |
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- bigcgen |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-medium-bigcgen-female-5hrs-62 |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: bigcgen |
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type: bigcgen |
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metrics: |
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- name: Wer |
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type: wer |
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value: 0.548921679909194 |
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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-bigcgen-female-5hrs-62 |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the bigcgen dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7278 |
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- Wer: 0.5489 |
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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: 2 |
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- eval_batch_size: 2 |
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- seed: 62 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 5000 |
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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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| 1.0539 | 0.5984 | 200 | 1.0387 | 0.6708 | |
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| 0.7105 | 1.1945 | 400 | 0.8432 | 0.5764 | |
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| 0.6344 | 1.7928 | 600 | 0.7586 | 0.5600 | |
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| 0.5221 | 2.3889 | 800 | 0.7457 | 0.5623 | |
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| 0.4151 | 2.9873 | 1000 | 0.7278 | 0.5489 | |
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| 0.219 | 3.5834 | 1200 | 0.7980 | 0.5287 | |
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| 0.1226 | 4.1795 | 1400 | 0.8193 | 0.5362 | |
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| 0.1245 | 4.7779 | 1600 | 0.8030 | 0.4976 | |
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| 0.0529 | 5.3740 | 1800 | 0.8765 | 0.4963 | |
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### Framework versions |
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- Transformers 4.53.0.dev0 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.0 |
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