xlm-roberta-base-finetuned-panx-en

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: 0.4052
• F1: 0.6895

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
1.1696	1.0	50	0.5964	0.4584
0.5308	2.0	100	0.4411	0.6486
0.3868	3.0	150	0.4052	0.6895

Framework versions

• Transformers 4.30.2
• Pytorch 1.7.0+cu110
• Datasets 2.13.2
• Tokenizers 0.13.3