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---
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library_name: transformers
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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: exo-5
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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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metrics:
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- name: Wer
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type: wer
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value: 0.09080525414049115
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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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# exo-5
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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: 0.1314
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- Wer Ortho: 0.1507
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- Wer: 0.0908
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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: 4e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.12
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- num_epochs: 15
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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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| 0.0443 | 1.0 | 57 | 0.0811 | 0.1175 | 0.0680 |
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| 0.0262 | 2.0 | 114 | 0.1065 | 0.1454 | 0.0977 |
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| 0.0409 | 3.0 | 171 | 0.1275 | 0.1074 | 0.0748 |
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| 0.0204 | 4.0 | 228 | 0.1301 | 0.1371 | 0.1057 |
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| 0.0095 | 5.0 | 285 | 0.1293 | 0.1982 | 0.1605 |
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| 0.0071 | 6.0 | 342 | 0.1422 | 0.1822 | 0.1365 |
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| 0.0011 | 7.0 | 399 | 0.1329 | 0.1448 | 0.0982 |
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| 0.0049 | 8.0 | 456 | 0.1294 | 0.1359 | 0.0788 |
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| 0.0012 | 9.0 | 513 | 0.1296 | 0.1478 | 0.0891 |
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| 0.0002 | 10.0 | 570 | 0.1305 | 0.1484 | 0.0891 |
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| 0.0013 | 11.0 | 627 | 0.1298 | 0.1490 | 0.0897 |
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| 0.0002 | 12.0 | 684 | 0.1309 | 0.1490 | 0.0891 |
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| 0.0004 | 13.0 | 741 | 0.1311 | 0.1513 | 0.0914 |
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| 0.0001 | 14.0 | 798 | 0.1313 | 0.1507 | 0.0908 |
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| 0.0001 | 15.0 | 855 | 0.1314 | 0.1507 | 0.0908 |
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### Framework versions
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- Transformers 4.55.3
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- Pytorch 2.8.0+cu128
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- Datasets 3.6.0
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- Tokenizers 0.21.2
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