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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: 0.3189
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+ - Wer: 23.8109
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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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+ | 0.2778 | 0.1 | 500 | 0.4945 | 36.9839 |
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+ | 0.4343 | 0.2 | 1000 | 0.4290 | 35.1835 |
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+ | 0.3523 | 0.3 | 1500 | 0.3780 | 30.6514 |
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+ | 0.3833 | 0.4 | 2000 | 0.3436 | 28.0318 |
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+ | 0.2029 | 1.09 | 2500 | 0.3360 | 26.5128 |
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+ | 0.1797 | 1.19 | 3000 | 0.3351 | 25.8927 |
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+ | 0.1687 | 1.29 | 3500 | 0.3249 | 25.8628 |
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+ | 0.1603 | 1.39 | 4000 | 0.3089 | 23.9877 |
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+ | 0.0762 | 2.08 | 4500 | 0.3345 | 24.5804 |
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+ | 0.0676 | 2.18 | 5000 | 0.3189 | 23.8109 |
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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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