metadata
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: tests
results: []
tests
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.2590
- F1: 0.6703
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: 3e-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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 65 | 1.6059 | 0.4378 |
| No log | 2.0 | 130 | 1.1745 | 0.5973 |
| No log | 3.0 | 195 | 1.1097 | 0.6622 |
| No log | 4.0 | 260 | 1.1188 | 0.6459 |
| No log | 5.0 | 325 | 1.2955 | 0.6324 |
| No log | 6.0 | 390 | 1.5177 | 0.6541 |
| No log | 7.0 | 455 | 1.8703 | 0.6189 |
| 0.6433 | 8.0 | 520 | 1.7936 | 0.6486 |
| 0.6433 | 9.0 | 585 | 1.9287 | 0.6459 |
| 0.6433 | 10.0 | 650 | 1.9884 | 0.6595 |
| 0.6433 | 11.0 | 715 | 2.0985 | 0.6568 |
| 0.6433 | 12.0 | 780 | 2.1248 | 0.6730 |
| 0.6433 | 13.0 | 845 | 2.1511 | 0.6676 |
| 0.6433 | 14.0 | 910 | 2.2218 | 0.6622 |
| 0.6433 | 15.0 | 975 | 2.2069 | 0.6703 |
| 0.0065 | 16.0 | 1040 | 2.2273 | 0.6676 |
| 0.0065 | 17.0 | 1105 | 2.2626 | 0.6649 |
| 0.0065 | 18.0 | 1170 | 2.2593 | 0.6703 |
| 0.0065 | 19.0 | 1235 | 2.2577 | 0.6703 |
| 0.0065 | 20.0 | 1300 | 2.2590 | 0.6703 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2