xlm-roberta-base-kin-finetuned-RC
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2068
- F1: 0.5673
- Roc Auc: 0.7554
- Accuracy: 0.65
Model description
More information needed
Intended uses & limitations
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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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 20
Training results
Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
---|---|---|---|---|---|---|
0.3372 | 1.0 | 123 | 0.3504 | 0.0 | 0.5 | 0.2959 |
0.3383 | 2.0 | 246 | 0.3199 | 0.0 | 0.5 | 0.2959 |
0.3208 | 3.0 | 369 | 0.2941 | 0.1868 | 0.5728 | 0.3480 |
0.2913 | 4.0 | 492 | 0.2852 | 0.2785 | 0.6222 | 0.3980 |
0.2613 | 5.0 | 615 | 0.2767 | 0.4047 | 0.6659 | 0.4531 |
0.2449 | 6.0 | 738 | 0.2649 | 0.4176 | 0.6791 | 0.4816 |
0.2226 | 7.0 | 861 | 0.2636 | 0.4390 | 0.6889 | 0.4939 |
0.2054 | 8.0 | 984 | 0.2459 | 0.4594 | 0.7017 | 0.5449 |
0.1972 | 9.0 | 1107 | 0.2435 | 0.4724 | 0.7094 | 0.5592 |
0.1667 | 10.0 | 1230 | 0.2430 | 0.4667 | 0.7068 | 0.5541 |
0.1566 | 11.0 | 1353 | 0.2261 | 0.4980 | 0.7253 | 0.6031 |
0.1404 | 12.0 | 1476 | 0.2213 | 0.4952 | 0.7210 | 0.6 |
0.149 | 13.0 | 1599 | 0.2167 | 0.5080 | 0.7317 | 0.6265 |
0.1228 | 14.0 | 1722 | 0.2144 | 0.5381 | 0.7443 | 0.6316 |
0.1327 | 15.0 | 1845 | 0.2115 | 0.5507 | 0.7487 | 0.6439 |
0.1236 | 16.0 | 1968 | 0.2092 | 0.5568 | 0.7512 | 0.65 |
0.118 | 17.0 | 2091 | 0.2075 | 0.5539 | 0.7503 | 0.6480 |
0.1201 | 18.0 | 2214 | 0.2072 | 0.5657 | 0.7535 | 0.6490 |
0.1068 | 19.0 | 2337 | 0.2068 | 0.5673 | 0.7554 | 0.65 |
0.1035 | 20.0 | 2460 | 0.2067 | 0.5672 | 0.7552 | 0.6520 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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FacebookAI/xlm-roberta-base