output_dir_train_on_subset

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

• Loss: 0.4571
• F1: 0.7048

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: 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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.8816	1.0	295	0.5474	0.5668
0.4609	2.0	590	0.4571	0.7048

Framework versions

• Transformers 4.32.1
• Pytorch 2.1.2+cu121
• Datasets 2.12.0
• Tokenizers 0.13.2