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End of training

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  1. README.md +68 -0
  2. generation_config.json +247 -0
  3. pytorch_model.bin +1 -1
README.md ADDED
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+ ---
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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-large-v2
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+ tags:
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+ - whisper-event
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+ - generated_from_trainer
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+ datasets:
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+ - mozilla-foundation/common_voice_11_0
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+ model-index:
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+ - name: Whisper Large V2 - Cantonese - Augmented
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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 V2 - Cantonese - Augmented
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+
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+ This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the mozilla-foundation/common_voice_11_0 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2004
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+ - Cer: 100.0
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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: 32
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+ - eval_batch_size: 16
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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: 100
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+ - training_steps: 1000
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Cer |
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+ |:-------------:|:-----:|:----:|:---------------:|:-----:|
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+ | 0.1124 | 1.2 | 200 | 0.1755 | 100.0 |
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+ | 0.0397 | 2.41 | 400 | 0.1766 | 100.0 |
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+ | 0.0176 | 3.61 | 600 | 0.1859 | 100.0 |
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+ | 0.0063 | 4.82 | 800 | 0.1951 | 100.0 |
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+ | 0.0017 | 6.02 | 1000 | 0.2004 | 100.0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.32.0.dev0
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.3
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+ - Tokenizers 0.13.3
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