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update model card README.md
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README.md
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---
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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
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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: 34.120425029515935
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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: 0.6900
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- Wer Ortho: 35.9038
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- Wer: 34.1204
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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: linear
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- lr_scheduler_warmup_steps: 150
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- training_steps: 500
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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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| 3.5847 | 1.79 | 50 | 2.5796 | 52.3751 | 40.2597 |
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| 0.6921 | 3.57 | 100 | 0.6884 | 42.5663 | 37.1901 |
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| 0.305 | 5.36 | 150 | 0.5833 | 39.1733 | 35.5962 |
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| 0.1133 | 7.14 | 200 | 0.5980 | 36.8291 | 34.3566 |
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| 0.0391 | 8.93 | 250 | 0.6228 | 37.3843 | 34.2385 |
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| 0.0138 | 10.71 | 300 | 0.6522 | 39.4201 | 37.1311 |
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| 0.0051 | 12.5 | 350 | 0.6699 | 35.7187 | 33.4711 |
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| 0.0032 | 14.29 | 400 | 0.6826 | 36.0888 | 34.0024 |
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| 0.0027 | 16.07 | 450 | 0.6881 | 36.2122 | 34.3566 |
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| 0.0024 | 17.86 | 500 | 0.6900 | 35.9038 | 34.1204 |
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### Framework versions
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- Transformers 4.29.0.dev0
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- Pytorch 2.0.0+cu117
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- Datasets 2.11.0
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- Tokenizers 0.13.3
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