uner_swe_tal
This model is a fine-tuned version of xlm-roberta-large on the uner_swe_tal dataset. It achieves the following results on the evaluation set:
- Loss: 0.0144
- Precision: 0.7407
- Recall: 0.8696
- F1: 0.8000
- Accuracy: 0.9985
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: 4
- eval_batch_size: 4
- 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
- 27
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_swe_tal
Base model
FacebookAI/xlm-roberta-largeEvaluation results
- Precision on uner_swe_talvalidation set self-reported0.741
- Recall on uner_swe_talvalidation set self-reported0.870
- F1 on uner_swe_talvalidation set self-reported0.800
- Accuracy on uner_swe_talvalidation set self-reported0.998