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--- |
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library_name: peft |
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language: |
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- en |
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license: apache-2.0 |
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base_model: openai/whisper-tiny |
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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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- hf-internal-testing/librispeech_asr_dummy |
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metrics: |
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- wer |
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model-index: |
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- name: wft-test-model |
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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: hf-internal-testing/librispeech_asr_dummy |
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type: hf-internal-testing/librispeech_asr_dummy |
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metrics: |
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- type: wer |
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value: 5.905511811023622 |
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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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# wft-test-model |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the hf-internal-testing/librispeech_asr_dummy dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1185 |
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- Wer: 5.9055 |
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- Cer: 83.2386 |
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- Decode Time: 0.5299 |
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- Wer Time: 0.0047 |
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- Cer Time: 0.0030 |
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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: 0.0005 |
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- train_batch_size: 4 |
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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: 100 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | Decode Time | Wer Time | Cer Time | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------:|:--------:|:--------:| |
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| 2.4079 | 0.1 | 10 | 1.9885 | 312.2047 | 119.2472 | 0.5334 | 0.0169 | 0.0041 | |
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| 1.2303 | 1.01 | 20 | 1.1646 | 258.2677 | 100.0 | 0.5213 | 1.4057 | 0.0046 | |
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| 0.8667 | 1.11 | 30 | 0.8100 | 37.7953 | 52.3438 | 0.5008 | 0.0396 | 0.0045 | |
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| 0.4517 | 2.02 | 40 | 0.6337 | 40.9449 | 73.7926 | 0.5137 | 0.0217 | 0.0030 | |
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| 0.4352 | 2.12 | 50 | 0.4493 | 16.5354 | 88.1392 | 0.5203 | 0.0054 | 0.0032 | |
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| 0.2341 | 3.03 | 60 | 0.2922 | 8.2677 | 97.5852 | 0.5434 | 0.0060 | 0.0032 | |
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| 0.2233 | 3.13 | 70 | 0.2026 | 9.0551 | 83.5227 | 0.5359 | 0.0063 | 0.0033 | |
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| 0.1098 | 4.04 | 80 | 0.1665 | 5.9055 | 83.9489 | 0.5316 | 0.0056 | 0.0029 | |
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| 0.0678 | 4.14 | 90 | 0.1279 | 7.0866 | 81.1080 | 0.5388 | 0.0079 | 0.0038 | |
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| 0.078 | 5.05 | 100 | 0.1185 | 5.9055 | 83.2386 | 0.5299 | 0.0047 | 0.0030 | |
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### Framework versions |
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- PEFT 0.13.2 |
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- Transformers 4.45.2 |
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- Pytorch 2.5.0 |
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- Datasets 3.0.2 |
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- Tokenizers 0.20.1 |
