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: 0.6045
• F1: 0.5463

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: 192
• eval_batch_size: 192
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	7	1.3798	0.0022
No log	2.0	14	1.0295	0.2087
No log	3.0	21	0.8452	0.3955
No log	4.0	28	0.7139	0.5016
No log	5.0	35	0.6363	0.5578
No log	6.0	42	0.6045	0.5463

Framework versions

• Transformers 4.34.1
• Pytorch 2.1.0
• Datasets 2.14.6
• Tokenizers 0.14.1