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amoros_spec_02-medium
whucedar/amoros_spec_02-medium
amoros_spec_02-medium is a automatic speech recognition model from whucedar. Use it when you need speech turned into text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- Model type
- whisper
- Access
- Public
- Created
- May 26, 2025
- Updated
- May 27, 2025
- SHA
- 27671ef0
Base models
Datasets
Model card
From the Hugging Face model README
<!-- 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
This model is a fine-tuned version of whucedar/amoros_spec_01_train_20-medium_1000_8 on the amoros_spec_02 dataset. It achieves the following results on the evaluation set:
- Loss: 0.5581
- Wer: 438.75
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0001 | 100.0 | 1000 | 0.5581 | 438.75 |
Framework versions
- Transformers 4.52.3
- Pytorch 2.7.0+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- Languages
- zh
- Created
- May 26, 2025
- Updated
- May 27, 2025