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End of training

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  1. README.md +79 -0
  2. generation_config.json +256 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: openai/whisper-small
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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_6_1
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: Whisper Small Frisian 1h
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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: Common Voice 6.1
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+ type: mozilla-foundation/common_voice_6_1
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+ args: 'config: frisian, split: test'
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 63.251646334880704
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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 Frisian 1h
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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 Common Voice 6.1 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.0076
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+ - Wer: 63.2516
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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-06
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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: 1000
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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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+ | 2.4337 | 4.4444 | 200 | 2.4123 | 86.6566 |
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+ | 1.2587 | 8.8889 | 400 | 1.4507 | 74.9685 |
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+ | 0.6617 | 13.3333 | 600 | 1.1118 | 66.6991 |
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+ | 0.4265 | 17.7778 | 800 | 1.0242 | 63.8850 |
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+ | 0.3419 | 22.2222 | 1000 | 1.0076 | 63.2516 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.40.1
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+ - Pytorch 2.2.2+cu121
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+ - Datasets 2.19.0
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+ - Tokenizers 0.19.1
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