xlm-roberta-base-finetuned-panx-all

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: 0.3778
• F1: 0.7576

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
1.2037	1.0	42	0.5917	0.5556
0.4816	2.0	84	0.4088	0.7534
0.3146	3.0	126	0.3778	0.7576

Framework versions

• Transformers 4.16.2
• Pytorch 2.8.0+cu126
• Datasets 1.16.1
• Tokenizers 0.22.1