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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: openai/whisper-large-v3
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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: openai/whisper-large-v3
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+ results: []
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+ ---
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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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+
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+ # openai/whisper-large-v3
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+
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+ This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.7039
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+ - Wer: 29.7352
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 16
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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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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|
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+ | 0.0341 | 9.0 | 500 | 0.5451 | 34.7454 |
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+ | 0.0107 | 18.01 | 1000 | 0.5565 | 31.4868 |
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+ | 0.0012 | 27.01 | 1500 | 0.5967 | 30.5092 |
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+ | 0.0001 | 37.0 | 2000 | 0.6311 | 30.7128 |
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+ | 0.0001 | 46.0 | 2500 | 0.6630 | 30.0611 |
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+ | 0.0 | 55.01 | 3000 | 0.6787 | 29.8167 |
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+ | 0.0 | 64.01 | 3500 | 0.6894 | 29.6538 |
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+ | 0.0 | 74.0 | 4000 | 0.6970 | 29.6538 |
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+ | 0.0 | 83.0 | 4500 | 0.7019 | 29.6945 |
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+ | 0.0 | 92.01 | 5000 | 0.7039 | 29.7352 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.37.2
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+ - Pytorch 1.14.0a0+44dac51
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+ - Datasets 2.17.1
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+ - Tokenizers 0.15.2
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