xlm-roberta-base-finetuned-panx-en

This model is a fine-tuned version of MunSu/xlm-roberta-base-finetuned-panx-de on the xtreme dataset. It achieves the following results on the evaluation set:

• Loss: 0.4148
• F1: 0.7655

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: 8
• eval_batch_size: 8
• 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
No log	1.0	148	0.3936	0.7289
No log	2.0	296	0.3534	0.7607
No log	3.0	444	0.4148	0.7655

Framework versions

• Transformers 4.26.0
• Pytorch 1.8.0
• Datasets 2.9.0
• Tokenizers 0.13.2