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: 0.4004
• F1: 0.6700

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
1.1798	1.0	50	0.6616	0.4612
0.5404	2.0	100	0.4206	0.6551
0.3714	3.0	150	0.4004	0.6700

Framework versions

• Transformers 4.20.1
• Pytorch 1.13.0.dev20220711
• Datasets 2.4.0
• Tokenizers 0.12.1