xlm-roberta-base-ary-MICRO
This model is a fine-tuned version of FacebookAI/xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2817
- F1: 0.4417
- Roc Auc: 0.6727
- Accuracy: 0.5177
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 20
Training results
Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
---|---|---|---|---|---|---|
0.3286 | 1.0 | 135 | 0.3098 | 0.0 | 0.5 | 0.4674 |
0.3204 | 2.0 | 270 | 0.2967 | 0.0 | 0.5 | 0.4674 |
0.336 | 3.0 | 405 | 0.3001 | 0.0 | 0.5 | 0.4674 |
0.2629 | 4.0 | 540 | 0.2754 | 0.2238 | 0.5639 | 0.4953 |
0.2569 | 5.0 | 675 | 0.2618 | 0.3276 | 0.6062 | 0.5196 |
0.2357 | 6.0 | 810 | 0.2572 | 0.3707 | 0.6273 | 0.5177 |
0.1831 | 7.0 | 945 | 0.2615 | 0.4313 | 0.6594 | 0.5307 |
0.1663 | 8.0 | 1080 | 0.2636 | 0.4198 | 0.6542 | 0.5196 |
0.1529 | 9.0 | 1215 | 0.2817 | 0.4417 | 0.6727 | 0.5177 |
0.1486 | 10.0 | 1350 | 0.2993 | 0.4267 | 0.6720 | 0.4916 |
0.135 | 11.0 | 1485 | 0.2957 | 0.4059 | 0.6511 | 0.5140 |
0.1147 | 12.0 | 1620 | 0.3052 | 0.4173 | 0.6590 | 0.5140 |
0.0967 | 13.0 | 1755 | 0.3159 | 0.4023 | 0.6468 | 0.5196 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0
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FacebookAI/xlm-roberta-base