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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: 66.77419354838709 |
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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: 0.9709 |
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- Wer: 66.7742 |
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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: 15 |
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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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| 6.1405 | 0.6897 | 50 | 5.7981 | 205.1613 | |
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| 4.968 | 1.3793 | 100 | 5.3200 | 164.8387 | |
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| 4.2444 | 2.0690 | 150 | 4.7663 | 85.8065 | |
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| 3.6175 | 2.7586 | 200 | 4.0413 | 83.8710 | |
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| 3.0351 | 3.4483 | 250 | 3.6257 | 80.3226 | |
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| 2.668 | 4.1379 | 300 | 3.2450 | 75.8065 | |
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| 2.3178 | 4.8276 | 350 | 2.8196 | 75.1613 | |
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| 1.9613 | 5.5172 | 400 | 2.3047 | 73.8710 | |
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| 1.5398 | 6.2069 | 450 | 1.8564 | 73.8710 | |
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| 1.2771 | 6.8966 | 500 | 1.5804 | 76.4516 | |
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| 1.0752 | 7.5862 | 550 | 1.3762 | 75.1613 | |
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| 0.8899 | 8.2759 | 600 | 1.2049 | 77.0968 | |
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| 0.7684 | 8.9655 | 650 | 1.1252 | 75.1613 | |
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| 0.7242 | 9.6552 | 700 | 1.0776 | 74.1935 | |
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| 0.67 | 10.3448 | 750 | 1.0567 | 72.9032 | |
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| 0.6405 | 11.0345 | 800 | 1.0334 | 73.2258 | |
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| 0.622 | 11.7241 | 850 | 1.0179 | 74.1935 | |
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| 0.5874 | 12.4138 | 900 | 1.0067 | 71.2903 | |
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| 0.5601 | 13.1034 | 950 | 0.9863 | 67.0968 | |
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| 0.544 | 13.7931 | 1000 | 0.9855 | 67.0968 | |
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| 0.538 | 14.4828 | 1050 | 0.9709 | 66.7742 | |
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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 |
