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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: cc-by-nc-4.0 |
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base_model: nyrahealth/CrisperWhisper |
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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-Crisper |
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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: 155.63816604708796 |
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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-Crisper |
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This model is a fine-tuned version of [nyrahealth/CrisperWhisper](https://huggingface.co/nyrahealth/CrisperWhisper) on the b-brave-clean dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2971 |
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- Wer: 155.6382 |
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- Cer: 74.4218 |
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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: 0.5 |
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- num_epochs: 8 |
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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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| 1.0227 | 1.0 | 335 | 0.8979 | 601.9827 | 363.8095 | 0.0001 | |
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| 0.5552 | 2.0 | 670 | 0.5294 | 1520.4461 | 678.7302 | 0.0002 | |
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| 0.4207 | 3.0 | 1005 | 0.4611 | 403.5936 | 219.1610 | 0.0002 | |
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| 0.2025 | 4.0 | 1340 | 0.3812 | 346.8401 | 162.0408 | 0.0003 | |
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| 0.1216 | 5.0 | 1675 | 0.3001 | 400.3717 | 203.6054 | 0.0002 | |
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| 0.0478 | 6.0 | 2010 | 0.2932 | 198.6369 | 94.8299 | 0.0001 | |
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| 0.0313 | 7.0 | 2345 | 0.3033 | 241.0161 | 115.3288 | 0.0001 | |
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| 0.012 | 7.9776 | 2672 | 0.2971 | 155.6382 | 74.4218 | 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 |
