classification_test_24Jan
This model is a fine-tuned version of allenai/longformer-base-4096 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2570
- Accuracy: 0.9687
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: 4
- eval_batch_size: 4
- 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 | Accuracy |
|---|---|---|---|---|
| 0.5747 | 1.0 | 1318 | 0.2918 | 0.9311 |
| 0.3317 | 2.0 | 2636 | 0.2456 | 0.9459 |
| 0.2215 | 3.0 | 3954 | 0.2050 | 0.9550 |
| 0.1525 | 4.0 | 5272 | 0.2775 | 0.9590 |
| 0.0977 | 5.0 | 6590 | 0.2771 | 0.9585 |
| 0.0899 | 6.0 | 7908 | 0.2663 | 0.9613 |
| 0.082 | 7.0 | 9226 | 0.2500 | 0.9636 |
| 0.0698 | 8.0 | 10544 | 0.2939 | 0.9607 |
| 0.0287 | 9.0 | 11862 | 0.2668 | 0.9653 |
| 0.0417 | 10.0 | 13180 | 0.2570 | 0.9687 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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Base model
allenai/longformer-base-4096