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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: 4.7781
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- Cer: 64.7190
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- Wer: 119.5364
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- Ser: 100.0
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- Cer Clean: 3.5058
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- Wer Clean: 6.2914
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- Ser Clean: 7.0175
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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: 1000
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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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| 7.5369 | 0.53 | 100 | 6.7220 | 63.7730 | 128.1457 | 100.0 | 4.1180 | 6.9536 | 8.7719 |
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| 7.0363 | 1.06 | 200 | 6.1829 | 65.0529 | 123.8411 | 100.0 | 3.2832 | 5.6291 | 7.0175 |
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| 6.417 | 1.6 | 300 | 5.7959 | 64.1625 | 121.1921 | 100.0 | 3.2832 | 5.6291 | 7.0175 |
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| 6.0146 | 2.13 | 400 | 5.4587 | 64.7746 | 121.8543 | 100.0 | 3.6728 | 6.6225 | 7.8947 |
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| 5.6687 | 2.66 | 500 | 5.2287 | 65.3311 | 120.5298 | 100.0 | 3.7284 | 6.6225 | 7.8947 |
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| 5.3902 | 3.19 | 600 | 5.0691 | 65.1085 | 121.1921 | 100.0 | 3.5615 | 6.2914 | 7.0175 |
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| 5.2512 | 3.72 | 700 | 4.9358 | 64.7190 | 120.1987 | 100.0 | 3.2832 | 5.9603 | 6.1404 |
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| 5.1258 | 4.26 | 800 | 4.8451 | 64.7190 | 119.5364 | 100.0 | 3.5058 | 6.2914 | 7.0175 |
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| 5.0472 | 4.79 | 900 | 4.7950 | 64.7190 | 119.5364 | 100.0 | 3.5058 | 6.2914 | 7.0175 |
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| 4.9871 | 5.32 | 1000 | 4.7781 | 64.7190 | 119.5364 | 100.0 | 3.5058 | 6.2914 | 7.0175 |
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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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