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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: michaelsh/whisper-tiny-minds-v5-numproc1 |
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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 |
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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: 0.36609955891619406 |
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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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# michaelsh/whisper-tiny-minds-v5-numproc1 |
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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: 0.6160 |
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- Wer Ortho: 0.3635 |
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- Wer: 0.3661 |
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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: 16 |
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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_ratio: 0.1 |
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- num_epochs: 10 |
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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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| 3.1128 | 1.0 | 29 | 1.5110 | 0.8028 | 0.7574 | |
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| 0.6583 | 2.0 | 58 | 0.5695 | 0.4347 | 0.4316 | |
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| 0.3271 | 3.0 | 87 | 0.5171 | 0.3945 | 0.3913 | |
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| 0.2003 | 4.0 | 116 | 0.5165 | 0.3912 | 0.3907 | |
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| 0.1189 | 5.0 | 145 | 0.5296 | 0.3819 | 0.3825 | |
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| 0.0623 | 6.0 | 174 | 0.5532 | 0.3747 | 0.3737 | |
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| 0.0326 | 7.0 | 203 | 0.5614 | 0.3865 | 0.3882 | |
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| 0.0149 | 8.0 | 232 | 0.6009 | 0.3628 | 0.3655 | |
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| 0.0093 | 9.0 | 261 | 0.6024 | 0.3707 | 0.3762 | |
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| 0.0038 | 10.0 | 290 | 0.6160 | 0.3635 | 0.3661 | |
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### Framework versions |
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- Transformers 4.32.0.dev0 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.13.3 |
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