xlm-roberta-base-finetuned-panx-all

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: 0.1875
• F1: 0.8570

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: 12
• eval_batch_size: 12
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.2957	1.0	1669	0.2045	0.8101
0.1624	2.0	3338	0.1856	0.8467
0.1026	3.0	5007	0.1875	0.8570

Framework versions

• Transformers 4.46.3
• Pytorch 2.3.1
• Datasets 2.19.1
• Tokenizers 0.20.1