xlm-roberta-base-finetuned-panx-it

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: 0.2928
• F1: 0.7730

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: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1
1.4548	1.0	27	0.6522	0.5457
0.5214	2.0	54	0.3476	0.7404
0.3186	3.0	81	0.2928	0.7730

Framework versions

• Transformers 4.11.3
• Pytorch 1.11.0
• Datasets 1.16.1
• Tokenizers 0.10.3