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End of training

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ language:
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+ - ps
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+ license: mit
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+ base_model: openai/whisper-large-v3-turbo
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - mozilla-foundation/common_voice_17_0
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+ model-index:
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+ - name: Whisper Small PS - Hanif Rahman
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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 Small PS - Hanif Rahman
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+
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+ This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the Common Voice 17.0 dataset.
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+ It achieves the following results on the evaluation set:
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+ - eval_loss: 0.5649
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+ - eval_wer_ortho: 39.8068
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+ - eval_wer: 39.2011
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+ - eval_runtime: 655.7419
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+ - eval_samples_per_second: 1.112
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+ - eval_steps_per_second: 0.14
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+ - epoch: 2.2676
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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: cosine_with_restarts
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+ - lr_scheduler_warmup_steps: 200
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+ - training_steps: 1000
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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 4.45.2
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+ - Pytorch 2.4.1+cu121
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+ - Datasets 3.0.1
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+ - Tokenizers 0.20.1
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