xlm-roberta-base-finetuned-t_communication
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: 0.2533
- Accuracy: 0.94
- F1: 0.9418
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 |
---|---|---|---|---|---|
0.5999 | 1.0 | 26 | 0.3455 | 0.845 | 0.8597 |
0.3759 | 2.0 | 52 | 0.2515 | 0.875 | 0.8858 |
0.2539 | 3.0 | 78 | 0.2606 | 0.925 | 0.9282 |
0.1963 | 4.0 | 104 | 0.2426 | 0.95 | 0.9510 |
0.1831 | 5.0 | 130 | 0.2533 | 0.94 | 0.9418 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Tokenizers 0.19.1
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