relation_detection_textual
This model is a fine-tuned version of Musixmatch/umberto-commoncrawl-cased-v1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5247
- F1: 0.6071
- Roc Auc: 0.6769
- Accuracy: 0.5659
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
---|---|---|---|---|---|---|
No log | 1.0 | 33 | 0.5783 | 0.2301 | 0.5 | 0.5271 |
No log | 2.0 | 66 | 0.5327 | 0.4997 | 0.6312 | 0.5814 |
No log | 3.0 | 99 | 0.5276 | 0.5688 | 0.6597 | 0.5969 |
No log | 4.0 | 132 | 0.5228 | 0.4610 | 0.6262 | 0.6434 |
No log | 5.0 | 165 | 0.5153 | 0.5762 | 0.6594 | 0.6124 |
No log | 6.0 | 198 | 0.5153 | 0.5762 | 0.6594 | 0.6124 |
No log | 7.0 | 231 | 0.5190 | 0.6032 | 0.6729 | 0.5659 |
No log | 8.0 | 264 | 0.5240 | 0.6021 | 0.6728 | 0.5736 |
No log | 9.0 | 297 | 0.5247 | 0.6071 | 0.6769 | 0.5659 |
No log | 10.0 | 330 | 0.5257 | 0.5924 | 0.6672 | 0.5659 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.0.0+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2
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