zh-CN-2-model - whucedar
This model is a fine-tuned version of whucedar/zh-CN-model on the retrain_jiaozhu_50 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0166
- Wer: 13.3333
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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 200
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0001 | 33.3333 | 100 | 0.0166 | 13.3333 |
| 0.0 | 66.6667 | 200 | 0.0166 | 13.3333 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.1+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1
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