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End of training

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  1. README.md +78 -0
  2. generation_config.json +159 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ language:
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+ - zh
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+ base_model: whucedar/amoros_spec_01_train_20-medium_1000_8
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+ tags:
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+ - hf-asr-leaderboard
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+ - generated_from_trainer
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+ datasets:
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+ - whucedar/amoros_spec_02-medium
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: amoros_spec_02-medium
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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: amoros_spec_02
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+ type: whucedar/amoros_spec_02-medium
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+ args: 'config: zh, split: test'
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 438.75
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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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+ # amoros_spec_02-medium
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+
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+ This model is a fine-tuned version of [whucedar/amoros_spec_01_train_20-medium_1000_8](https://huggingface.co/whucedar/amoros_spec_01_train_20-medium_1000_8) on the amoros_spec_02 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5581
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+ - Wer: 438.75
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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: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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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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+ | 0.0001 | 100.0 | 1000 | 0.5581 | 438.75 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.52.3
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+ - Pytorch 2.7.0+cu126
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+ - Datasets 3.6.0
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+ - Tokenizers 0.21.1
generation_config.json ADDED
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+ }