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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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metrics: |
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- wer |
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model-index: |
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- name: whisper-tiny-en |
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results: [] |
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datasets: |
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- PolyAI/minds14 |
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pipeline_tag: automatic-speech-recognition |
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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 |
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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: 0.5603 |
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- Wer Ortho: 0.2844 |
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- Wer: 0.2910 |
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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: 1 |
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- eval_batch_size: 1 |
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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: 2225 |
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- mixed_precision_training: Native AMP |
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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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| 0.5396 | 1.0 | 445 | 0.4247 | 0.3387 | 0.3394 | |
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| 0.2289 | 2.0 | 890 | 0.4628 | 0.2961 | 0.3017 | |
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| 0.1448 | 3.0 | 1335 | 0.4680 | 0.2819 | 0.2869 | |
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| 0.0405 | 4.0 | 1780 | 0.5402 | 0.3029 | 0.3052 | |
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| 0.0092 | 5.0 | 2225 | 0.5603 | 0.2844 | 0.2910 | |
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### Framework versions |
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- Transformers 4.44.0 |
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- Pytorch 2.1.1+cu118 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
