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End of training

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  1. README.md +93 -0
  2. generation_config.json +257 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ language:
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+ - yue
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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_15_0
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+ - mozilla-foundation/common_voice_16_1
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: Whisper Small Canontese X v2
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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 16.1
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+ type: mozilla-foundation/common_voice_15_0
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+ config: zh-HK
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+ split: None
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+ args: 'config: zh-HK, split: test'
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 59.33048433048433
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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 15.0
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+ type: mozilla-foundation/common_voice_16_1
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 59.33048433048433
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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 Canontese X v2
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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 16.1 and the Common Voice 15.0 datasets.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2720
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+ - Wer: 59.3305
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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: 4
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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: 3000
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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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+ | 0.2939 | 0.7918 | 1000 | 0.3060 | 65.9188 |
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+ | 0.1498 | 1.5835 | 2000 | 0.2803 | 61.6809 |
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+ | 0.0662 | 2.3753 | 3000 | 0.2720 | 59.3305 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.2
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+ - Pytorch 2.4.1+cu121
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+ - Datasets 3.0.0
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+ - Tokenizers 0.19.1
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