e_care_Ba1
This model is a fine-tuned version of FacebookAI/xlm-roberta-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6931
- F1: 0.4746
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
Training Loss | Epoch | Step | Validation Loss | F1 |
---|---|---|---|---|
0.704 | 1.0 | 933 | 0.6931 | 0.5002 |
0.7017 | 2.0 | 1866 | 0.6931 | 0.4667 |
0.6969 | 3.0 | 2799 | 0.6931 | 0.4621 |
0.6978 | 4.0 | 3732 | 0.6931 | 0.4622 |
0.6986 | 5.0 | 4665 | 0.6931 | 0.4876 |
0.6979 | 6.0 | 5598 | 0.6931 | 0.5377 |
0.698 | 7.0 | 6531 | 0.6931 | 0.4836 |
0.6972 | 8.0 | 7464 | 0.6931 | 0.4732 |
0.6956 | 9.0 | 8397 | 0.6931 | 0.4668 |
0.6973 | 10.0 | 9330 | 0.6931 | 0.4746 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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