xlm-roberta-base-finetuned-m_share_facts
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: 0.4341
- Accuracy: 0.865
- F1: 0.8626
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: 5
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
---|---|---|---|---|---|
0.6719 | 1.0 | 26 | 0.5871 | 0.785 | 0.7647 |
0.5305 | 2.0 | 52 | 0.4710 | 0.84 | 0.8348 |
0.4115 | 3.0 | 78 | 0.4379 | 0.875 | 0.8728 |
0.3738 | 4.0 | 104 | 0.4392 | 0.86 | 0.8571 |
0.3382 | 5.0 | 130 | 0.4341 | 0.865 | 0.8626 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Tokenizers 0.19.1
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