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+ ---
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+ language:
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+ - el
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+ license: apache-2.0
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+ tags:
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+ - whisper-event
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+ datasets:
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+ - mozilla-foundation/common_voice_11_0
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: whisper-small-el
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+ results:
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+ - task:
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+ name: Automatic Speech Recognition
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+ type: automatic-speech-recognition
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+ dataset:
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+ name: mozilla-foundation/common_voice_11_0 el
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+ type: mozilla-foundation/common_voice_11_0
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+ config: el
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+ split: test
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+ args: el
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 25.696508172362552
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+ ---
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+
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+ # Whisper Small - Greek (el)
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+
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+ This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_11_0 el dataset
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+ for transcription in Greek.
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+ It achieves the following results on the evaluation set:
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+
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+ - Wer: 20.2080
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+
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+
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+ ### Training results
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+
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+ Upon completion of training the best model was reloaded and tested with the following results extracted from the stdout log:
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+ ```
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+ Loading best model from ./whisper-small-el/checkpoint-5000 (score: 20.208023774145616).
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+
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+ {'train_runtime': 73232.697,
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+ 'train_samples_per_second': 4.37,
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+ 'train_steps_per_second': 0.068,
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+ 'train_loss': 0.06146362095708027,
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+ 'epoch': 94.34}
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+
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+ TrainOutput(global_step=5000,
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+ training_loss=0.06146362095708027,
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+ metrics={'train_runtime': 73232.697,
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+ 'train_samples_per_second': 4.37,
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+ 'train_steps_per_second': 0.068,
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+ 'train_loss': 0.06146362095708027,
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+ 'epoch': 94.34})
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+ ```
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+
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+ ### Framework versions
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+
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+ - Transformers 4.26.0.dev0
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+ - Pytorch 1.13.0
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+ - Datasets 2.7.1.dev0
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+ - Tokenizers 0.12.1