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roberta-base-bne-finetuned_personality_multi_3
This model is a fine-tuned version of BSC-TeMU/roberta-base-bne on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.1145
- Accuracy: 0.4847
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- 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 | Accuracy |
|---|---|---|---|---|
| 2.2498 | 1.0 | 63 | 2.2799 | 0.2236 |
| 2.3044 | 2.0 | 126 | 2.1644 | 0.2980 |
| 1.9017 | 3.0 | 189 | 1.9934 | 0.4127 |
| 2.2281 | 4.0 | 252 | 1.8517 | 0.4501 |
| 1.2955 | 5.0 | 315 | 1.7588 | 0.4870 |
| 1.221 | 6.0 | 378 | 1.7269 | 0.4888 |
| 1.1381 | 7.0 | 441 | 1.7617 | 0.4888 |
| 0.8415 | 8.0 | 504 | 1.8101 | 0.4853 |
| 0.6696 | 9.0 | 567 | 1.8325 | 0.4928 |
| 0.6646 | 10.0 | 630 | 1.8707 | 0.4841 |
| 0.3758 | 11.0 | 693 | 1.8766 | 0.4876 |
| 0.3477 | 12.0 | 756 | 1.9171 | 0.4905 |
| 0.2854 | 13.0 | 819 | 1.9203 | 0.4980 |
| 0.2713 | 14.0 | 882 | 2.0089 | 0.4813 |
| 0.3434 | 15.0 | 945 | 2.0130 | 0.4905 |
| 0.0758 | 16.0 | 1008 | 2.0230 | 0.4922 |
| 0.2518 | 17.0 | 1071 | 2.0793 | 0.4824 |
| 0.0783 | 18.0 | 1134 | 2.0920 | 0.4830 |
| 0.0933 | 19.0 | 1197 | 2.1067 | 0.4836 |
| 0.184 | 20.0 | 1260 | 2.1145 | 0.4847 |
Framework versions
- Transformers 4.19.4
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
