uner_slo_snk

This model is a fine-tuned version of xlm-roberta-large on the uner_slo_snk dataset. It achieves the following results on the evaluation set:

• Loss: 0.0903
• Precision: 0.8090
• Recall: 0.8789
• F1: 0.8425
• Accuracy: 0.9834

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