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End of training

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README.md ADDED
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+ ---
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+ language:
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+ - cs
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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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+ datasets:
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+ - cobination
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+ model-index:
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+ - name: Whisper large cs - jan_zizka
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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 cs - jan_zizka
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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 combined dataset.
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+ It achieves the following results on the evaluation set:
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+ - eval_loss: 0.1242
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+ - eval_wer: 11.3608
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+ - eval_runtime: 14167.2564
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+ - eval_samples_per_second: 0.624
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+ - eval_steps_per_second: 0.078
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+ - epoch: 0.3795
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+ - step: 1000
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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: 8
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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: 4000
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+ - mixed_precision_training: Native AMP
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.2
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+ - Tokenizers 0.19.1
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