<!-- 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. -->
33333fwfwfw
This model is a fine-tuned version of joohwan/22221fwfwfw on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2379
- Cer: 0.1817
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: 0.0004
- train_batch_size: 8
- 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: 400
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.0905 | 3.25 | 500 | 1.1914 | 0.2485 |
| 0.1354 | 6.49 | 1000 | 1.2372 | 0.2335 |
| 0.0981 | 9.74 | 1500 | 1.3565 | 0.2395 |
| 0.0827 | 12.99 | 2000 | 1.1879 | 0.2158 |
| 0.0626 | 16.23 | 2500 | 1.3100 | 0.2211 |
| 0.0517 | 19.48 | 3000 | 1.1448 | 0.1977 |
| 0.0382 | 22.73 | 3500 | 1.1920 | 0.1919 |
| 0.0291 | 25.97 | 4000 | 1.2770 | 0.1863 |
| 0.0217 | 29.22 | 4500 | 1.2379 | 0.1817 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.0
- Tokenizers 0.13.3
