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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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- toigen |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-medium-toigen-combined-model |
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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: toigen |
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type: toigen |
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metrics: |
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- name: Wer |
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type: wer |
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value: 0.4497528830313015 |
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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-toigen-combined-model |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co./openai/whisper-medium) on the toigen dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6425 |
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- Wer: 0.4498 |
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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: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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- optimizer: Use 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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- num_epochs: 30.0 |
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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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| 3.9586 | 0.9467 | 200 | 0.8733 | 0.5994 | |
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| 2.4999 | 1.8899 | 400 | 0.6726 | 0.4648 | |
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| 1.7047 | 2.8331 | 600 | 0.6523 | 0.4585 | |
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| 0.9573 | 3.7763 | 800 | 0.6425 | 0.4498 | |
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| 0.4029 | 4.7195 | 1000 | 0.6657 | 0.4043 | |
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| 0.2311 | 5.6627 | 1200 | 0.6910 | 0.4187 | |
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| 0.1545 | 6.6059 | 1400 | 0.7208 | 0.3864 | |
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### Framework versions |
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- Transformers 4.47.1 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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