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---
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license: apache-2.0
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base_model: openai/whisper-tiny.en
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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: abbenedekwhisper-tiny.en-finetuning3-D3K
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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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should probably proofread and complete it, then remove this comment. -->
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# abbenedekwhisper-tiny.en-finetuning3-D3K
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This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.2102
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- Cer: 48.9705
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- Wer: 91.3907
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- Ser: 100.0
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- Cer Clean: 6.0657
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- Wer Clean: 12.9139
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- Ser Clean: 13.1579
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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-08
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- train_batch_size: 16
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- eval_batch_size: 64
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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: 10
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- training_steps: 2000
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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 | Cer | Wer | Ser | Cer Clean | Wer Clean | Ser Clean |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:--------:|:-----:|:---------:|:---------:|:---------:|
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| 6.2196 | 1.06 | 200 | 5.5899 | 52.5320 | 112.9139 | 100.0 | 7.3456 | 14.2384 | 14.9123 |
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| 5.2943 | 2.13 | 400 | 4.9201 | 52.4763 | 110.2649 | 100.0 | 7.6238 | 14.9007 | 15.7895 |
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| 4.5662 | 3.19 | 600 | 4.4164 | 51.1964 | 105.6291 | 100.0 | 7.6238 | 14.9007 | 15.7895 |
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| 4.0943 | 4.26 | 800 | 4.0825 | 50.5843 | 103.3113 | 100.0 | 7.1786 | 14.5695 | 14.9123 |
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| 3.6948 | 5.32 | 1000 | 3.7923 | 51.5303 | 101.9868 | 100.0 | 6.3439 | 12.9139 | 13.1579 |
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| 3.3742 | 6.38 | 1200 | 3.5565 | 50.3617 | 98.3444 | 100.0 | 6.3439 | 13.5762 | 14.0351 |
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| 3.1519 | 7.45 | 1400 | 3.3895 | 49.0262 | 93.7086 | 100.0 | 6.3439 | 13.5762 | 14.0351 |
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| 2.9995 | 8.51 | 1600 | 3.2845 | 48.6366 | 92.7152 | 100.0 | 6.3439 | 13.5762 | 14.0351 |
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| 2.9152 | 9.57 | 1800 | 3.2282 | 47.9688 | 91.7219 | 100.0 | 6.0657 | 12.9139 | 13.1579 |
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| 2.884 | 10.64 | 2000 | 3.2102 | 48.9705 | 91.3907 | 100.0 | 6.0657 | 12.9139 | 13.1579 |
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.2.2+cu121
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- Datasets 2.14.5
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- Tokenizers 0.15.2
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