heb-shortcrop-verifier
This model is a fine-tuned version of cyttic/exp23-directfit-unfrozen on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0667
- Cer: 0.0269
- Exact: 0.9527
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: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 0.05
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer | Exact |
|---|---|---|---|---|---|
| 0.2816 | 0.4305 | 1000 | 0.1008 | 0.0400 | 0.9307 |
| 0.1388 | 0.8610 | 2000 | 0.0716 | 0.0304 | 0.948 |
| 0.1454 | 1.0 | 2323 | 0.0667 | 0.0269 | 0.9527 |
Framework versions
- Transformers 5.13.1
- Pytorch 2.10.0+cu128
- Datasets 5.0.0
- Tokenizers 0.22.2