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: 0.1606
• F1: 0.8620

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
0.2873	1.0	715	0.1802	0.8245
0.1446	2.0	1430	0.1601	0.8512
0.0925	3.0	2145	0.1606	0.8620

Framework versions

• Transformers 4.16.2
• Pytorch 2.0.1+cu118
• Datasets 1.16.1
• Tokenizers 0.13.3