uner_cro_set
This model is a fine-tuned version of xlm-roberta-large on the uner_cro_set dataset. It achieves the following results on the evaluation set:
- Loss: 0.0482
- Precision: 0.9337
- Recall: 0.9360
- F1: 0.9349
- Accuracy: 0.9921
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
- Downloads last month
- 20
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for universalner/uner_cro_set
Base model
FacebookAI/xlm-roberta-largeEvaluation results
- Precision on uner_cro_setvalidation set self-reported0.934
- Recall on uner_cro_setvalidation set self-reported0.936
- F1 on uner_cro_setvalidation set self-reported0.935
- Accuracy on uner_cro_setvalidation set self-reported0.992