rel-cl-lstm-2
This model is a fine-tuned version of on the None dataset.
It achieves the following results on the evaluation set:
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: 32
- eval_batch_size: 32
- seed: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 3052726
Training results
| Training Loss |
Epoch |
Step |
Validation Loss |
| 4.8008 |
0.03 |
76319 |
4.7627 |
| 4.5151 |
0.03 |
152638 |
4.4816 |
| 4.374 |
0.03 |
228957 |
4.3478 |
| 4.2862 |
1.03 |
305276 |
4.2645 |
| 4.2226 |
0.03 |
381595 |
4.2082 |
| 4.1691 |
1.03 |
457914 |
4.1669 |
| 4.1333 |
0.03 |
534233 |
4.1361 |
| 4.1034 |
1.03 |
610552 |
4.1115 |
| 4.0735 |
0.03 |
686871 |
4.0929 |
| 4.051 |
1.03 |
763190 |
4.0768 |
| 4.0334 |
0.03 |
839509 |
4.0648 |
| 4.0153 |
1.03 |
915828 |
4.0532 |
| 3.9936 |
0.03 |
992147 |
4.0440 |
| 3.9834 |
0.03 |
1068466 |
4.0364 |
| 3.9681 |
1.03 |
1144785 |
4.0294 |
| 3.9586 |
0.03 |
1221105 |
4.0229 |
| 3.9442 |
1.03 |
1297425 |
4.0173 |
| 3.9351 |
0.03 |
1373745 |
4.0124 |
| 3.9238 |
1.03 |
1450065 |
4.0085 |
| 3.9209 |
0.03 |
1526385 |
4.0051 |
| 3.9142 |
1.03 |
1602705 |
4.0024 |
| 3.9116 |
0.03 |
1679025 |
3.9996 |
| 3.9073 |
1.03 |
1755345 |
3.9973 |
| 3.9009 |
0.03 |
1831665 |
3.9954 |
| 3.8922 |
1.03 |
1907985 |
3.9933 |
| 3.8829 |
0.03 |
1984305 |
3.9910 |
| 3.8762 |
1.03 |
2060625 |
3.9890 |
| 3.8746 |
0.03 |
2136945 |
3.9878 |
| 3.8673 |
1.03 |
2213265 |
3.9862 |
| 3.8607 |
0.03 |
2289585 |
3.9850 |
| 3.8607 |
0.03 |
2365905 |
3.9843 |
| 3.8592 |
0.03 |
2442225 |
3.9831 |
| 3.8521 |
1.03 |
2518545 |
3.9822 |
| 3.8487 |
0.03 |
2594865 |
3.9816 |
| 3.8455 |
1.03 |
2671185 |
3.9811 |
| 3.846 |
0.03 |
2747505 |
3.9803 |
| 3.846 |
1.03 |
2823825 |
3.9796 |
| 3.846 |
0.03 |
2900145 |
3.9794 |
| 3.8496 |
0.03 |
2976465 |
3.9789 |
| 3.8456 |
1.02 |
3052726 |
3.9785 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
