scenario-KD-PR-MSV-D2_data-massive005_all_1_1_gamma
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: 2.5076
- Accuracy: 0.7415
- F1: 0.6645
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: 123621
- 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 |
---|---|---|---|---|---|
0.7542 | 5.45 | 5000 | 3.3978 | 0.6823 | 0.5922 |
0.4795 | 10.89 | 10000 | 3.0108 | 0.7087 | 0.6290 |
0.373 | 16.34 | 15000 | 2.7038 | 0.7296 | 0.6463 |
0.3228 | 21.79 | 20000 | 2.5627 | 0.7379 | 0.6581 |
0.2928 | 27.23 | 25000 | 2.5076 | 0.7415 | 0.6645 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.1.1+cu121
- Datasets 2.14.5
- Tokenizers 0.13.3
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