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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: yt-special-batch4-tiny
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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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# yt-special-batch4-tiny
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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: 1.2325
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- Wer: 85.8699
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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: 4
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- eval_batch_size: 2
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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: 500
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- training_steps: 5000
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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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| 1.6736 | 0.09 | 1000 | 1.4867 | 126.2823 |
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| 1.3354 | 0.17 | 2000 | 1.3584 | 103.0219 |
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| 1.4841 | 0.26 | 3000 | 1.2936 | 86.3303 |
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| 1.2807 | 0.34 | 4000 | 1.2523 | 85.9477 |
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| 1.2095 | 0.43 | 5000 | 1.2325 | 85.8699 |
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### Framework versions
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- Transformers 4.31.0.dev0
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- Pytorch 2.0.1+cu117
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- Datasets 2.13.1
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- Tokenizers 0.13.3
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