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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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- Dysarthria_Synthetic_Easycall_Common |
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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: Dysarthria_Synthetic_Easycall_Common |
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type: Dysarthria_Synthetic_Easycall_Common |
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config: default |
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split: train |
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args: default |
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metrics: |
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- type: wer |
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value: 70.3225806451613 |
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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 Dysarthria_Synthetic_Easycall_Common dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9647 |
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- Wer: 70.3226 |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: reduce_lr_on_plateau |
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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 30 |
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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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| 6.0651 | 0.6897 | 50 | 5.7375 | 162.9032 | |
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| 4.9066 | 1.3793 | 100 | 5.3309 | 93.5484 | |
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| 4.2186 | 2.0690 | 150 | 4.7377 | 89.3548 | |
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| 3.628 | 2.7586 | 200 | 4.0118 | 81.6129 | |
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| 3.0181 | 3.4483 | 250 | 3.6058 | 81.6129 | |
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| 2.6682 | 4.1379 | 300 | 3.2728 | 78.3871 | |
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| 2.3183 | 4.8276 | 350 | 2.8405 | 75.4839 | |
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| 1.9084 | 5.5172 | 400 | 2.1841 | 71.9355 | |
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| 1.2191 | 6.2069 | 450 | 1.2534 | 73.5484 | |
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| 0.8483 | 6.8966 | 500 | 1.1853 | 73.5484 | |
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| 0.8115 | 7.5862 | 550 | 1.1503 | 70.9677 | |
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| 0.7512 | 8.2759 | 600 | 1.1072 | 73.5484 | |
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| 0.7064 | 8.9655 | 650 | 1.0806 | 74.5161 | |
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| 0.6779 | 9.6552 | 700 | 1.0477 | 75.1613 | |
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| 0.6345 | 10.3448 | 750 | 1.0352 | 74.8387 | |
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| 0.6097 | 11.0345 | 800 | 1.0186 | 73.8710 | |
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| 0.5927 | 11.7241 | 850 | 1.0120 | 74.5161 | |
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| 0.5619 | 12.4138 | 900 | 1.0017 | 73.5484 | |
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| 0.5349 | 13.1034 | 950 | 0.9879 | 70.0 | |
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| 0.5207 | 13.7931 | 1000 | 0.9900 | 70.0 | |
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| 0.5168 | 14.4828 | 1050 | 0.9828 | 173.8710 | |
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| 0.4703 | 15.1724 | 1100 | 0.9676 | 73.5484 | |
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| 0.476 | 15.8621 | 1150 | 0.9729 | 175.8065 | |
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| 0.4443 | 16.5517 | 1200 | 0.9652 | 74.1935 | |
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| 0.4215 | 17.2414 | 1250 | 0.9635 | 176.1290 | |
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| 0.4206 | 17.9310 | 1300 | 0.9631 | 179.3548 | |
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| 0.3971 | 18.6207 | 1350 | 0.9687 | 70.6452 | |
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| 0.3838 | 19.3103 | 1400 | 0.9543 | 147.7419 | |
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| 0.3791 | 20.0 | 1450 | 0.9594 | 68.3871 | |
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| 0.3441 | 20.6897 | 1500 | 0.9608 | 257.0968 | |
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| 0.3574 | 21.3793 | 1550 | 0.9589 | 71.2903 | |
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| 0.3323 | 22.0690 | 1600 | 0.9619 | 69.6774 | |
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| 0.3187 | 22.7586 | 1650 | 0.9552 | 154.1935 | |
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| 0.3011 | 23.4483 | 1700 | 0.9568 | 67.0968 | |
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| 0.2997 | 24.1379 | 1750 | 0.9580 | 70.9677 | |
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| 0.287 | 24.8276 | 1800 | 0.9566 | 70.6452 | |
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| 0.2747 | 25.5172 | 1850 | 0.9694 | 68.3871 | |
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| 0.2665 | 26.2069 | 1900 | 0.9544 | 69.0323 | |
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| 0.2565 | 26.8966 | 1950 | 0.9518 | 155.8065 | |
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| 0.2448 | 27.5862 | 2000 | 0.9579 | 68.7097 | |
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| 0.2377 | 28.2759 | 2050 | 0.9589 | 67.0968 | |
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| 0.2323 | 28.9655 | 2100 | 0.9590 | 68.7097 | |
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| 0.2224 | 29.6552 | 2150 | 0.9647 | 70.3226 | |
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### Framework versions |
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- PEFT 0.14.0 |
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- Transformers 4.45.2 |
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- Pytorch 2.2.0 |
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- Datasets 3.2.0 |
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- Tokenizers 0.20.3 |
