End of training
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README.md
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- generated_from_trainer
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datasets:
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- PolyAI/minds14
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model-index:
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- name: whisper-tiny-finetuned-minds14-en
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results:
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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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# whisper-tiny-finetuned-minds14-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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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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-
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.37.2
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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-finetuned-minds14-en
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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: 0.3565525383707202
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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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# whisper-tiny-finetuned-minds14-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: 0.5637
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- Wer Ortho: 0.3720
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- Wer: 0.3566
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 10
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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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| 1.2092 | 2.0 | 56 | 0.6048 | 0.4065 | 0.3908 |
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| 0.2742 | 4.0 | 112 | 0.5197 | 0.3714 | 0.3577 |
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| 0.1131 | 6.0 | 168 | 0.5391 | 0.3671 | 0.3512 |
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| 0.0599 | 8.0 | 224 | 0.5592 | 0.3701 | 0.3548 |
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| 0.0382 | 10.0 | 280 | 0.5637 | 0.3720 | 0.3566 |
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### Framework versions
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- Transformers 4.37.2
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model.safetensors
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