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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: whisper-large-v3-cit-do015-wd0-lr3e-06-FULL
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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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+ # whisper-large-v3-cit-do015-wd0-lr3e-06-FULL
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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 the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5117
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+ - Wer Ortho: 27.7362
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+ - Wer: 18.6050
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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: 3e-06
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+ - train_batch_size: 4
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 16
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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: 100
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+ - training_steps: 500
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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 Ortho | Wer |
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+ |:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
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+ | 0.9582 | 0.4773 | 50 | 0.6479 | 34.9922 | 25.6303 |
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+ | 0.6764 | 0.9547 | 100 | 0.5605 | 30.9901 | 21.5126 |
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+ | 0.5263 | 1.4320 | 150 | 0.5337 | 29.3892 | 20.0168 |
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+ | 0.5084 | 1.9093 | 200 | 0.5186 | 28.0842 | 19.1261 |
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+ | 0.4226 | 2.3866 | 250 | 0.5132 | 27.9624 | 18.8571 |
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+ | 0.4078 | 2.8640 | 300 | 0.5083 | 28.1538 | 19.0420 |
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+ | 0.3775 | 3.3413 | 350 | 0.5083 | 28.3974 | 18.8403 |
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+ | 0.3532 | 3.8186 | 400 | 0.5093 | 28.1538 | 18.6555 |
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+ | 0.3359 | 4.2959 | 450 | 0.5098 | 27.7188 | 18.5210 |
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+ | 0.3189 | 4.7733 | 500 | 0.5117 | 27.7362 | 18.6050 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.42.4
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+ - Pytorch 1.13.1+cu117
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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