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--- |
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base_model: openai/whisper-medium |
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datasets: |
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- miosipof/asr_en |
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language: |
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- en |
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library_name: peft |
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license: apache-2.0 |
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metrics: |
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- wer |
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tags: |
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- generated_from_trainer |
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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: miosipof/asr_en |
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type: miosipof/asr_en |
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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: 68.88888888888889 |
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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 miosipof/asr_en dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3857 |
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- Wer: 68.8889 |
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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: 0.001 |
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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: linear |
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- lr_scheduler_warmup_steps: 32 |
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- training_steps: 1024 |
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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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| 5.6529 | 1.0847 | 32 | 2.0524 | 41.1111 | |
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| 1.2225 | 2.1695 | 64 | 0.6093 | 52.0635 | |
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| 0.2888 | 3.2542 | 96 | 0.4636 | 48.5714 | |
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| 0.1701 | 4.3390 | 128 | 0.4190 | 43.0159 | |
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| 0.1729 | 5.4237 | 160 | 0.5561 | 61.9048 | |
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| 0.0846 | 6.5085 | 192 | 0.3515 | 57.3016 | |
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| 0.0678 | 7.5932 | 224 | 0.3795 | 47.9365 | |
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| 0.0578 | 8.6780 | 256 | 0.5905 | 56.9841 | |
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| 0.0457 | 9.7627 | 288 | 0.4444 | 73.0159 | |
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| 0.0432 | 10.8475 | 320 | 0.5010 | 59.2063 | |
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| 0.0407 | 11.9322 | 352 | 0.5758 | 63.4921 | |
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| 0.0341 | 13.0169 | 384 | 0.6487 | 50.3175 | |
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| 0.0308 | 14.1017 | 416 | 0.4682 | 45.8730 | |
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| 0.0304 | 15.1864 | 448 | 0.4518 | 65.5556 | |
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| 0.0241 | 16.2712 | 480 | 0.5138 | 64.2857 | |
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| 0.029 | 17.3559 | 512 | 0.5460 | 66.5079 | |
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| 0.0169 | 18.4407 | 544 | 0.6139 | 64.7619 | |
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| 0.0196 | 19.5254 | 576 | 0.6055 | 54.4444 | |
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| 0.0148 | 20.6102 | 608 | 0.4502 | 65.7143 | |
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| 0.0153 | 21.6949 | 640 | 0.4179 | 81.7460 | |
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| 0.0149 | 22.7797 | 672 | 0.4491 | 108.7302 | |
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| 0.0188 | 23.8644 | 704 | 0.3885 | 75.3968 | |
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| 0.0115 | 24.9492 | 736 | 0.4070 | 182.6984 | |
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| 0.0111 | 26.0339 | 768 | 0.4429 | 128.7302 | |
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| 0.0124 | 27.1186 | 800 | 0.3827 | 69.2063 | |
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| 0.0096 | 28.2034 | 832 | 0.4028 | 70.0 | |
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| 0.0121 | 29.2881 | 864 | 0.3651 | 63.8095 | |
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| 0.0083 | 30.3729 | 896 | 0.3906 | 66.6667 | |
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| 0.0085 | 31.4576 | 928 | 0.3861 | 66.8254 | |
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| 0.0092 | 32.5424 | 960 | 0.3834 | 69.6825 | |
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| 0.0095 | 33.6271 | 992 | 0.3861 | 68.8889 | |
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| 0.007 | 34.7119 | 1024 | 0.3857 | 68.8889 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
