s300_shuff100
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5010
- Cer: 0.3090
- Wer: 0.4351
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: 0.0006
- train_batch_size: 16
- eval_batch_size: 16
- seed: 300
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- 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 | Cer | Wer |
|---|
| 0.972 | 1.6 | 1000 | 1.5010 | 0.3090 | 0.4351 |
Framework versions
- Transformers 4.43.1
- Pytorch 2.4.0
- Datasets 2.20.0
- Tokenizers 0.19.1
