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Checkpoints for arXivEdits paper. Please see more details at the github repo.
arXivEdits-intention-classifier-T5-base-coarse
This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1624
- Accuracy: 0.8242
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: 5e-05
- train_batch_size: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 105 | 0.3739 | 0.3470 |
| No log | 2.0 | 210 | 0.2931 | 0.4680 |
| No log | 3.0 | 315 | 0.2312 | 0.6119 |
| No log | 4.0 | 420 | 0.1784 | 0.6918 |
| 0.4892 | 5.0 | 525 | 0.1675 | 0.7648 |
| 0.4892 | 6.0 | 630 | 0.1615 | 0.7763 |
| 0.4892 | 7.0 | 735 | 0.1554 | 0.7900 |
| 0.4892 | 8.0 | 840 | 0.1699 | 0.8105 |
| 0.4892 | 9.0 | 945 | 0.1734 | 0.8151 |
| 0.1412 | 10.0 | 1050 | 0.1624 | 0.8242 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.11.0+cu113
- Datasets 1.17.0
- Tokenizers 0.11.6
