xlm-roberta-base-finetuned-suk-slovenian

This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0337
• F1: 0.9245

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: 24
• eval_batch_size: 24
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.0856	1.0	1053	0.0431	0.8892
0.0351	2.0	2106	0.0338	0.9148
0.0201	3.0	3159	0.0337	0.9245

Framework versions

• Transformers 4.16.2
• Pytorch 2.3.1+cpu
• Datasets 1.16.1
• Tokenizers 0.19.1