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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-clean |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Medium |
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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-clean |
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type: b-brave-clean |
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config: default |
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split: test |
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args: default |
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metrics: |
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- type: wer |
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value: 41.833810888252145 |
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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 |
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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-clean dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6398 |
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- Wer: 41.8338 |
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- Cer: 30.4702 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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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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| 3.6633 | 1.0 | 168 | 1.8570 | 149.4269 | 97.5309 | 0.0001 | |
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| 1.2316 | 2.0 | 336 | 0.9484 | 66.4756 | 45.5477 | 0.0002 | |
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| 0.8773 | 3.0 | 504 | 0.8240 | 117.3352 | 102.2590 | 0.0002 | |
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| 0.5747 | 4.0 | 672 | 0.7314 | 76.3610 | 56.0809 | 0.0003 | |
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| 0.3652 | 5.0 | 840 | 0.6545 | 104.1547 | 90.4124 | 0.0002 | |
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| 0.2632 | 6.0 | 1008 | 0.6305 | 50.5731 | 34.6467 | 0.0002 | |
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| 0.1568 | 7.0 | 1176 | 0.5926 | 90.1146 | 80.4833 | 0.0002 | |
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| 0.104 | 8.0 | 1344 | 0.6388 | 47.5645 | 33.4121 | 0.0001 | |
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| 0.0356 | 9.0 | 1512 | 0.6073 | 42.8367 | 46.9398 | 0.0001 | |
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| 0.0189 | 10.0 | 1680 | 0.6361 | 42.5501 | 47.1500 | 0.0001 | |
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| 0.0089 | 11.0 | 1848 | 0.6385 | 41.9771 | 30.4965 | 0.0000 | |
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| 0.0108 | 11.9313 | 2004 | 0.6398 | 41.8338 | 30.4702 | 0.0000 | |
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### Framework versions |
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- PEFT 0.14.0 |
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- Transformers 4.48.3 |
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- Pytorch 2.2.0 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
