| | ---
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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
|
| | 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
|
| | ---
|
| |
|
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| | should probably proofread and complete it, then remove this comment. -->
|
| |
|
| | # amoros_spec_02-medium
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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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| |
|
| | ## Model description
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| |
|
| | More information needed
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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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| |
|
| | ### 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
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| | |
