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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: 62.58064516129033 |
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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: 0.8596 |
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- Wer: 62.5806 |
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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: 16 |
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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: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 5 |
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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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| 5.3706 | 0.6897 | 50 | 4.0385 | 81.2903 | |
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| 1.6886 | 1.3793 | 100 | 1.1083 | 72.5806 | |
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| 0.6572 | 2.0690 | 150 | 0.9583 | 63.2258 | |
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| 0.4765 | 2.7586 | 200 | 0.9143 | 121.9355 | |
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| 0.3623 | 3.4483 | 250 | 0.8818 | 118.0645 | |
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| 0.2794 | 4.1379 | 300 | 0.8554 | 63.2258 | |
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| 0.2252 | 4.8276 | 350 | 0.8596 | 62.5806 | |
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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 |
