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--- |
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language: |
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- en-us |
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license: apache-2.0 |
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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 en-US - J3 |
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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-en-US |
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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: 0.3654073199527745 |
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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 en-US - J3 |
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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-en-US dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0413 |
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- Wer Ortho: 0.3603 |
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- Wer: 0.3654 |
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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: 32 |
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- eval_batch_size: 32 |
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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: reduce_lr_on_plateau |
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- lr_scheduler_warmup_steps: 100 |
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- training_steps: 2000 |
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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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| 0.0001 | 35.71 | 500 | 0.8505 | 0.3430 | 0.3459 | |
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| 0.0 | 71.43 | 1000 | 0.9093 | 0.3455 | 0.3501 | |
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| 0.0 | 107.14 | 1500 | 0.9707 | 0.3553 | 0.3589 | |
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| 0.0 | 142.86 | 2000 | 1.0413 | 0.3603 | 0.3654 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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