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--- |
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library_name: transformers |
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language: |
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- en |
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license: mit |
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base_model: openai/whisper-large-v3-turbo |
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tags: |
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- wft |
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- whisper |
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- automatic-speech-recognition |
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- audio |
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- speech |
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- generated_from_trainer |
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datasets: |
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- JacobLinCool/ami-disfluent |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-large-v3-turbo-verbatim-3-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: JacobLinCool/ami-disfluent |
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type: JacobLinCool/ami-disfluent |
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metrics: |
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- type: wer |
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value: 7.726913698959442 |
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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-large-v3-turbo-verbatim-3-lora |
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This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the JacobLinCool/ami-disfluent dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1459 |
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- Wer: 7.7269 |
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- Cer: 3.2519 |
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- Decode Runtime: 111.0004 |
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- Wer Runtime: 0.0705 |
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- Cer Runtime: 0.0932 |
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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-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 64 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 100 |
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- training_steps: 1000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | Decode Runtime | Wer Runtime | Cer Runtime | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:--------------:|:-----------:|:-----------:| |
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| No log | 0 | 0 | 2.2169 | 32.7209 | 17.9205 | 106.5404 | 0.0825 | 0.1203 | |
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| 0.1681 | 0.1 | 100 | 0.1998 | 9.9454 | 4.1038 | 108.1653 | 0.0730 | 0.0960 | |
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| 0.1025 | 0.2 | 200 | 0.1693 | 8.6885 | 3.7458 | 109.6779 | 0.0707 | 0.0957 | |
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| 0.2508 | 0.3 | 300 | 0.1590 | 8.3897 | 3.4931 | 110.3209 | 0.0716 | 0.0947 | |
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| 0.1446 | 1.088 | 400 | 0.1571 | 8.2626 | 3.4939 | 110.1930 | 0.0718 | 0.0951 | |
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| 0.1833 | 1.188 | 500 | 0.1505 | 8.0463 | 3.4298 | 110.3821 | 0.0709 | 0.0950 | |
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| 0.1409 | 1.288 | 600 | 0.1489 | 7.9948 | 3.3401 | 110.6880 | 0.0709 | 0.0939 | |
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| 0.1184 | 2.076 | 700 | 0.1492 | 7.9124 | 3.3181 | 110.6153 | 0.0728 | 0.0946 | |
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| 0.1737 | 2.176 | 800 | 0.1468 | 7.8128 | 3.2583 | 110.7120 | 0.0714 | 0.0947 | |
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| 0.1522 | 2.276 | 900 | 0.1462 | 7.7887 | 3.2604 | 110.7694 | 0.0710 | 0.0937 | |
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| 0.1077 | 3.064 | 1000 | 0.1459 | 7.7269 | 3.2519 | 111.0004 | 0.0705 | 0.0932 | |
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### Framework versions |
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- PEFT 0.14.0 |
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- Transformers 4.48.0 |
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- Pytorch 2.4.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
