xlm-roberta-base-finetuned-panx-en

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

• Loss: 0.3364
• F1: 0.7494

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: Use OptimizerNames.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
0.6582	1.0	135	0.3826	0.6804
0.3372	2.0	270	0.3504	0.7138
0.2505	3.0	405	0.3364	0.7494

Framework versions

• Transformers 4.47.0
• Pytorch 2.5.1
• Datasets 3.1.0
• Tokenizers 0.21.0