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--- |
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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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metrics: |
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- wer |
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model-index: |
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- name: multi-whisper-playground |
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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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# multi-whisper-playground |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8508 |
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- Wer: 195.4146 |
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- Acc: 12.6021 |
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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: 16 |
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- eval_batch_size: 32 |
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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_ratio: 0.05 |
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- num_epochs: 10 |
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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 | Acc | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------:| |
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| 2.2601 | 1.0 | 215 | 2.1670 | 210.5479 | 12.2520 | |
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| 1.8422 | 2.0 | 430 | 1.9717 | 187.2986 | 12.2520 | |
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| 1.6574 | 3.0 | 645 | 1.8943 | 162.3279 | 12.2520 | |
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| 1.4953 | 4.0 | 860 | 1.8562 | 187.3132 | 12.1354 | |
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| 1.4436 | 5.0 | 1075 | 1.8402 | 173.3153 | 12.2520 | |
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| 1.322 | 6.0 | 1290 | 1.8362 | 184.9692 | 12.4854 | |
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| 1.2386 | 7.0 | 1505 | 1.8372 | 183.5409 | 12.6021 | |
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| 1.1252 | 8.0 | 1720 | 1.8430 | 192.3747 | 12.6021 | |
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| 1.0449 | 9.0 | 1935 | 1.8459 | 198.8866 | 12.6021 | |
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| 1.0509 | 10.0 | 2150 | 1.8508 | 195.4146 | 12.6021 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.0.0 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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