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--- |
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license: apache-2.0 |
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base_model: nandovallec/whisper-tiny-bg-l |
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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: whisper-medium-order |
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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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# whisper-medium-order |
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This model is a fine-tuned version of [nandovallec/whisper-tiny-bg-l](https://huggingface.co/nandovallec/whisper-tiny-bg-l) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0173 |
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- Wer: 0.0 |
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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: 1 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 64 |
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- total_train_batch_size: 64 |
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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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- training_steps: 50 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.624 | 3.0 | 5 | 1.4084 | 111.7647 | |
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| 0.5102 | 6.0 | 10 | 0.5733 | 43.1373 | |
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| 0.2173 | 8.78 | 15 | 0.3225 | 31.3725 | |
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| 0.0178 | 11.29 | 20 | 0.2035 | 27.4510 | |
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| 0.0138 | 14.0 | 25 | 0.1143 | 21.5686 | |
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| 0.036 | 17.0 | 30 | 0.0603 | 3.9216 | |
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| 0.0296 | 20.0 | 35 | 0.0366 | 1.9608 | |
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| 0.0074 | 22.59 | 40 | 0.0250 | 1.9608 | |
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| 0.0014 | 25.1 | 45 | 0.0191 | 0.0 | |
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| 0.0051 | 28.0 | 50 | 0.0173 | 0.0 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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