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--- |
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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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- generated_from_trainer |
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datasets: |
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- PolyAI/minds14 |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-tiny |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: PolyAI/minds14 |
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type: PolyAI/minds14 |
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config: en-US |
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split: train[450:] |
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args: en-US |
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metrics: |
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- name: Wer |
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type: wer |
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value: 0.22434915773353753 |
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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-tiny |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5913 |
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- Wer Ortho: 0.2340 |
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- Wer: 0.2243 |
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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: 1e-05 |
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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: constant_with_warmup |
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- lr_scheduler_warmup_steps: 50 |
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- training_steps: 500 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:| |
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| 1.7357 | 2.0 | 50 | 0.7179 | 0.2947 | 0.2412 | |
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| 0.2772 | 4.0 | 100 | 0.4758 | 0.2404 | 0.2113 | |
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| 0.081 | 6.0 | 150 | 0.5069 | 0.2628 | 0.2282 | |
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| 0.02 | 8.0 | 200 | 0.5289 | 0.2564 | 0.2297 | |
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| 0.0044 | 10.0 | 250 | 0.5366 | 0.2452 | 0.2251 | |
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| 0.0018 | 12.0 | 300 | 0.5565 | 0.2404 | 0.2251 | |
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| 0.0011 | 14.0 | 350 | 0.5668 | 0.2388 | 0.2259 | |
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| 0.0009 | 16.0 | 400 | 0.5762 | 0.2364 | 0.2251 | |
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| 0.0007 | 18.0 | 450 | 0.5847 | 0.2348 | 0.2243 | |
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| 0.0006 | 20.0 | 500 | 0.5913 | 0.2340 | 0.2243 | |
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### Framework versions |
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- Transformers 4.32.0.dev0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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