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merge with whisper-small-yue-full-1

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README.md ADDED
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+ ---
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+ tags:
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+ - generated_from_trainer
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+ base_model: safecantonese/whisper-small-yue-full
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+ model-index:
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+ - name: whisper-small-yue-full-1
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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-yue-full-1
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+
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+ This model is a fine-tuned version of [safecantonese/whisper-small-yue-full](https://huggingface.co/safecantonese/whisper-small-yue-full) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0362
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+ - Cer: 6.1457
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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: 64
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+ - eval_batch_size: 64
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 128
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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: 2000
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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 | Cer |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 0.0147 | 0.88 | 1000 | 0.0406 | 6.2936 |
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+ | 0.0083 | 1.76 | 2000 | 0.0362 | 6.1457 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.0.dev0
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.1
config.json CHANGED
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  {
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- "_name_or_path": "openai/whisper-small",
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  "activation_dropout": 0.0,
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  "activation_function": "gelu",
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  "apply_spec_augment": false,
 
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  {
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+ "_name_or_path": "safecantonese/whisper-small-yue-full",
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  "activation_dropout": 0.0,
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  "activation_function": "gelu",
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  "apply_spec_augment": false,
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