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--- |
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base_model: openai/whisper-small |
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datasets: |
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- lord-reso/inbrowser-proctor-dataset |
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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-Small-Inbrowser-Proctor-LORA |
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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: Inbrowser Procotor Dataset |
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type: lord-reso/inbrowser-proctor-dataset |
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args: 'config: en, split: test' |
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metrics: |
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- type: wer |
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value: 18.158649251353935 |
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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-Small-Inbrowser-Proctor-LORA |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Inbrowser Procotor Dataset dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3646 |
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- Wer: 18.1586 |
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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: 5e-06 |
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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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- 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: 50 |
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- training_steps: 250 |
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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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| 0.7817 | 0.8929 | 25 | 0.7456 | 31.6502 | |
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| 0.3905 | 1.7857 | 50 | 0.4646 | 29.4043 | |
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| 0.2194 | 2.6786 | 75 | 0.3988 | 20.3090 | |
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| 0.1697 | 3.5714 | 100 | 0.3776 | 16.1357 | |
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| 0.1246 | 4.4643 | 125 | 0.3744 | 18.7639 | |
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| 0.1062 | 5.3571 | 150 | 0.3698 | 19.9267 | |
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| 0.0862 | 6.25 | 175 | 0.3698 | 19.9108 | |
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| 0.0701 | 7.1429 | 200 | 0.3651 | 18.0153 | |
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| 0.0647 | 8.0357 | 225 | 0.3659 | 18.4613 | |
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| 0.056 | 8.9286 | 250 | 0.3646 | 18.1586 | |
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### Framework versions |
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- PEFT 0.12.1.dev0 |
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- Transformers 4.45.0.dev0 |
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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 |
