scenario-KD-PR-MSV-D2_data-massive005_all_1_1_delta
This model is a fine-tuned version of FacebookAI/xlm-roberta-base on the massive dataset. It achieves the following results on the evaluation set:
- Loss: 2.5052
- Accuracy: 0.7419
- F1: 0.6646
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: 1254
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
---|---|---|---|---|---|
0.7554 | 5.45 | 5000 | 3.3501 | 0.6873 | 0.6060 |
0.4749 | 10.89 | 10000 | 2.9731 | 0.7131 | 0.6352 |
0.3759 | 16.34 | 15000 | 2.7414 | 0.7287 | 0.6487 |
0.3192 | 21.79 | 20000 | 2.5709 | 0.7374 | 0.6603 |
0.2936 | 27.23 | 25000 | 2.5052 | 0.7419 | 0.6646 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.1.1+cu121
- Datasets 2.14.5
- Tokenizers 0.13.3
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