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---
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license: apache-2.0
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base_model: openai/whisper-base.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-base.en-finetuning2-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-base.en-finetuning2-D3K
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This model is a fine-tuned version of [openai/whisper-base.en](https://huggingface.co/openai/whisper-base.en) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 6.9927
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- Cer: 63.0495
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- Wer: 127.1523
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- Ser: 100.0
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- Cer Clean: 4.3406
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- Wer Clean: 7.2848
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- Ser Clean: 9.6491
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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-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: 5
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- training_steps: 100
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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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| 7.8089 | 0.11 | 20 | 6.9970 | 63.0495 | 127.1523 | 100.0 | 4.3406 | 7.2848 | 9.6491 |
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| 7.653 | 0.21 | 40 | 6.9963 | 63.3834 | 127.4834 | 100.0 | 4.6745 | 7.6159 | 10.5263 |
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| 7.6425 | 0.32 | 60 | 6.9951 | 63.3834 | 127.4834 | 100.0 | 4.6745 | 7.6159 | 10.5263 |
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| 7.6689 | 0.43 | 80 | 6.9952 | 63.0495 | 127.1523 | 100.0 | 4.3406 | 7.2848 | 9.6491 |
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| 7.6972 | 0.53 | 100 | 6.9927 | 63.0495 | 127.1523 | 100.0 | 4.3406 | 7.2848 | 9.6491 |
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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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