xlm-roberta-base-finetuned-panx-ar

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

• Loss: 0.1977
• F1: 0.8803
• Accuracy: 0.9515

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: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Accuracy
0.2179	1.0	188	0.1977	0.8803	0.9515

Framework versions

• Transformers 4.40.0
• Pytorch 2.2.1+cu121
• Datasets 2.19.0
• Tokenizers 0.19.1