<!-- 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. -->
unsupervised-fine-tune-roberta-exist-5
This model is a fine-tuned version of nouman-10/unsupervised-exist-rb on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7029
- Accuracy: 0.6512
- F1: 0.6512
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 | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 194 | 1.0614 | 0.625 | 0.625 |
| No log | 2.0 | 388 | 1.0071 | 0.6047 | 0.6047 |
| 1.0299 | 3.0 | 582 | 1.0507 | 0.6512 | 0.6512 |
| 1.0299 | 4.0 | 776 | 1.0833 | 0.6453 | 0.6453 |
| 1.0299 | 5.0 | 970 | 1.1711 | 0.6337 | 0.6337 |
| 0.5093 | 6.0 | 1164 | 1.3761 | 0.6366 | 0.6366 |
| 0.5093 | 7.0 | 1358 | 1.4950 | 0.6424 | 0.6424 |
| 0.211 | 8.0 | 1552 | 1.5941 | 0.6337 | 0.6337 |
| 0.211 | 9.0 | 1746 | 1.6544 | 0.6570 | 0.6570 |
| 0.211 | 10.0 | 1940 | 1.7029 | 0.6512 | 0.6512 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
