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gec_uk_seq2tag
This model is a fine-tuned version of youscan/ukr-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6549
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
- Accuracy: 0.0930
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: 2e-05
- 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
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.528 | 1.0 | 1621 | 0.6525 | 0.0 | 0.0 | 0.0 | 0.1628 |
| 0.4406 | 2.0 | 3242 | 0.6549 | 0.0 | 0.0 | 0.0 | 0.0930 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
