uner_dan_ddt
This model is a fine-tuned version of xlm-roberta-large on the uner_dan_ddt dataset. It achieves the following results on the evaluation set:
- Loss: 0.0333
- Precision: 0.9019
- Recall: 0.8971
- F1: 0.8995
- Accuracy: 0.9939
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: 3e-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: 5.0
Training results
Framework versions
- Transformers 4.31.0
- Pytorch 1.10.1+cu113
- Datasets 2.14.4
- Tokenizers 0.13.3
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Base model
FacebookAI/xlm-roberta-largeEvaluation results
- Precision on uner_dan_ddtvalidation set self-reported0.902
- Recall on uner_dan_ddtvalidation set self-reported0.897
- F1 on uner_dan_ddtvalidation set self-reported0.899
- Accuracy on uner_dan_ddtvalidation set self-reported0.994