XMLRobertaLexical-finetuned_70KURL
This model is a fine-tuned version of FacebookAI/xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2650
- Accuracy: 0.9691
- F1: 0.9692
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: 64
- eval_batch_size: 64
- 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 | F1 |
---|---|---|---|---|---|
No log | 0.2326 | 200 | 0.1878 | 0.9387 | 0.9389 |
No log | 0.4651 | 400 | 0.1532 | 0.9467 | 0.9474 |
No log | 0.6977 | 600 | 0.1399 | 0.9565 | 0.9569 |
No log | 0.9302 | 800 | 0.1293 | 0.9615 | 0.9616 |
0.204 | 1.1628 | 1000 | 0.1645 | 0.9615 | 0.9616 |
0.204 | 1.3953 | 1200 | 0.1162 | 0.9634 | 0.9636 |
0.204 | 1.6279 | 1400 | 0.1178 | 0.9632 | 0.9635 |
0.204 | 1.8605 | 1600 | 0.1076 | 0.9672 | 0.9673 |
0.1192 | 2.0930 | 1800 | 0.1150 | 0.9660 | 0.9661 |
0.1192 | 2.3256 | 2000 | 0.1125 | 0.9676 | 0.9678 |
0.1192 | 2.5581 | 2200 | 0.1148 | 0.9654 | 0.9655 |
0.1192 | 2.7907 | 2400 | 0.1114 | 0.9682 | 0.9683 |
0.098 | 3.0233 | 2600 | 0.1177 | 0.9662 | 0.9661 |
0.098 | 3.2558 | 2800 | 0.1199 | 0.9650 | 0.9652 |
0.098 | 3.4884 | 3000 | 0.1050 | 0.9702 | 0.9703 |
0.098 | 3.7209 | 3200 | 0.1018 | 0.9677 | 0.9678 |
0.098 | 3.9535 | 3400 | 0.1201 | 0.9674 | 0.9675 |
0.0837 | 4.1860 | 3600 | 0.1054 | 0.9687 | 0.9687 |
0.0837 | 4.4186 | 3800 | 0.1205 | 0.9679 | 0.9682 |
0.0837 | 4.6512 | 4000 | 0.1295 | 0.9686 | 0.9686 |
0.0837 | 4.8837 | 4200 | 0.1346 | 0.9659 | 0.9659 |
0.0713 | 5.1163 | 4400 | 0.1298 | 0.9662 | 0.9663 |
0.0713 | 5.3488 | 4600 | 0.1220 | 0.9671 | 0.9671 |
0.0713 | 5.5814 | 4800 | 0.1352 | 0.9657 | 0.9656 |
0.0713 | 5.8140 | 5000 | 0.1745 | 0.9622 | 0.9626 |
0.0617 | 6.0465 | 5200 | 0.1428 | 0.9662 | 0.9662 |
0.0617 | 6.2791 | 5400 | 0.1346 | 0.9678 | 0.9678 |
0.0617 | 6.5116 | 5600 | 0.1428 | 0.9689 | 0.9691 |
0.0617 | 6.7442 | 5800 | 0.1550 | 0.9647 | 0.9645 |
0.0617 | 6.9767 | 6000 | 0.1326 | 0.9687 | 0.9688 |
0.0538 | 7.2093 | 6200 | 0.1412 | 0.9650 | 0.9650 |
0.0538 | 7.4419 | 6400 | 0.1502 | 0.9684 | 0.9686 |
0.0538 | 7.6744 | 6600 | 0.1285 | 0.9671 | 0.9672 |
0.0538 | 7.9070 | 6800 | 0.1344 | 0.9691 | 0.9691 |
0.0456 | 8.1395 | 7000 | 0.1472 | 0.9681 | 0.9681 |
0.0456 | 8.3721 | 7200 | 0.1548 | 0.9670 | 0.9671 |
0.0456 | 8.6047 | 7400 | 0.1736 | 0.9679 | 0.9681 |
0.0456 | 8.8372 | 7600 | 0.1827 | 0.9674 | 0.9675 |
0.0387 | 9.0698 | 7800 | 0.1919 | 0.9686 | 0.9686 |
0.0387 | 9.3023 | 8000 | 0.1839 | 0.9689 | 0.9690 |
0.0387 | 9.5349 | 8200 | 0.1987 | 0.9674 | 0.9673 |
0.0387 | 9.7674 | 8400 | 0.1908 | 0.9679 | 0.9681 |
0.0315 | 10.0 | 8600 | 0.1880 | 0.9678 | 0.9680 |
0.0315 | 10.2326 | 8800 | 0.2043 | 0.9689 | 0.9691 |
0.0315 | 10.4651 | 9000 | 0.1936 | 0.9688 | 0.9688 |
0.0315 | 10.6977 | 9200 | 0.1643 | 0.9674 | 0.9675 |
0.0315 | 10.9302 | 9400 | 0.1884 | 0.9680 | 0.9680 |
0.0281 | 11.1628 | 9600 | 0.1910 | 0.9672 | 0.9674 |
0.0281 | 11.3953 | 9800 | 0.1883 | 0.9676 | 0.9676 |
0.0281 | 11.6279 | 10000 | 0.1829 | 0.9692 | 0.9693 |
0.0281 | 11.8605 | 10200 | 0.1896 | 0.9674 | 0.9675 |
0.0246 | 12.0930 | 10400 | 0.2215 | 0.9677 | 0.9677 |
0.0246 | 12.3256 | 10600 | 0.2046 | 0.9669 | 0.9670 |
0.0246 | 12.5581 | 10800 | 0.2104 | 0.9673 | 0.9674 |
0.0246 | 12.7907 | 11000 | 0.2025 | 0.9687 | 0.9688 |
0.0214 | 13.0233 | 11200 | 0.2057 | 0.9678 | 0.9678 |
0.0214 | 13.2558 | 11400 | 0.2248 | 0.9661 | 0.9660 |
0.0214 | 13.4884 | 11600 | 0.2242 | 0.9690 | 0.9690 |
0.0214 | 13.7209 | 11800 | 0.2218 | 0.9677 | 0.9677 |
0.0214 | 13.9535 | 12000 | 0.2150 | 0.9665 | 0.9664 |
0.0189 | 14.1860 | 12200 | 0.2232 | 0.9683 | 0.9684 |
0.0189 | 14.4186 | 12400 | 0.2241 | 0.9687 | 0.9688 |
0.0189 | 14.6512 | 12600 | 0.2155 | 0.9677 | 0.9678 |
0.0189 | 14.8837 | 12800 | 0.2133 | 0.9664 | 0.9664 |
0.0167 | 15.1163 | 13000 | 0.2243 | 0.9680 | 0.9680 |
0.0167 | 15.3488 | 13200 | 0.2238 | 0.9686 | 0.9686 |
0.0167 | 15.5814 | 13400 | 0.2407 | 0.9672 | 0.9672 |
0.0167 | 15.8140 | 13600 | 0.2383 | 0.9659 | 0.9658 |
0.014 | 16.0465 | 13800 | 0.2371 | 0.9671 | 0.9671 |
0.014 | 16.2791 | 14000 | 0.2507 | 0.9676 | 0.9676 |
0.014 | 16.5116 | 14200 | 0.2412 | 0.9674 | 0.9675 |
0.014 | 16.7442 | 14400 | 0.2475 | 0.9687 | 0.9687 |
0.014 | 16.9767 | 14600 | 0.2508 | 0.9679 | 0.9679 |
0.0115 | 17.2093 | 14800 | 0.2537 | 0.9691 | 0.9691 |
0.0115 | 17.4419 | 15000 | 0.2574 | 0.9679 | 0.9680 |
0.0115 | 17.6744 | 15200 | 0.2586 | 0.9679 | 0.9680 |
0.0115 | 17.9070 | 15400 | 0.2563 | 0.9675 | 0.9675 |
0.0102 | 18.1395 | 15600 | 0.2566 | 0.9685 | 0.9685 |
0.0102 | 18.3721 | 15800 | 0.2595 | 0.9695 | 0.9696 |
0.0102 | 18.6047 | 16000 | 0.2619 | 0.9687 | 0.9687 |
0.0102 | 18.8372 | 16200 | 0.2643 | 0.9679 | 0.9679 |
0.0093 | 19.0698 | 16400 | 0.2721 | 0.9688 | 0.9688 |
0.0093 | 19.3023 | 16600 | 0.2641 | 0.9683 | 0.9684 |
0.0093 | 19.5349 | 16800 | 0.2674 | 0.9686 | 0.9686 |
0.0093 | 19.7674 | 17000 | 0.2653 | 0.9687 | 0.9687 |
0.0097 | 20.0 | 17200 | 0.2650 | 0.9691 | 0.9692 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.19.1
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Model tree for gechim/XMLRobertaLexical-finetuned_70KURL
Base model
FacebookAI/xlm-roberta-base