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--- |
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library_name: peft |
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language: |
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- it |
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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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- b-brave-balanced-augmented |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Medium IT |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: b-brave-balanced-augmented |
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type: b-brave-balanced-augmented |
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metrics: |
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- type: wer |
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value: 37.471783295711056 |
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name: Wer |
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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 IT |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the b-brave-balanced-augmented dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5097 |
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- Wer: 37.4718 |
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- Cer: 25.0621 |
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- Lr: 0.0000 |
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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: 0.0003 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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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_ratio: 0.3 |
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- num_epochs: 12 |
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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 | Cer | Lr | |
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|:-------------:|:-------:|:----:|:---------------:|:--------:|:--------:|:------:| |
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| 0.9163 | 1.0 | 413 | 0.8402 | 59.8194 | 36.7854 | 0.0001 | |
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| 0.5141 | 2.0 | 826 | 0.5758 | 116.7043 | 100.3728 | 0.0002 | |
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| 0.4624 | 3.0 | 1239 | 0.5542 | 181.9413 | 220.1740 | 0.0002 | |
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| 0.2622 | 4.0 | 1652 | 0.5540 | 36.7946 | 24.9379 | 0.0003 | |
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| 0.1687 | 5.0 | 2065 | 0.5141 | 93.4537 | 81.3173 | 0.0002 | |
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| 0.0797 | 6.0 | 2478 | 0.5233 | 34.9887 | 24.7307 | 0.0002 | |
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| 0.0367 | 7.0 | 2891 | 0.5124 | 36.3431 | 25.2693 | 0.0002 | |
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| 0.0264 | 8.0 | 3304 | 0.5188 | 35.2144 | 23.4880 | 0.0001 | |
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| 0.0108 | 9.0 | 3717 | 0.4938 | 33.6343 | 23.1152 | 0.0001 | |
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| 0.0084 | 10.0 | 4130 | 0.5044 | 37.9233 | 25.1450 | 0.0001 | |
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| 0.0014 | 11.0 | 4543 | 0.5071 | 37.2460 | 25.0621 | 0.0000 | |
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| 0.0017 | 11.9721 | 4944 | 0.5097 | 37.4718 | 25.0621 | 0.0000 | |
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### Framework versions |
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- PEFT 0.14.0 |
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- Transformers 4.49.0 |
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- Pytorch 2.2.0 |
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- Datasets 3.3.2 |
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- Tokenizers 0.21.1 |
