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: 0.6380
• F1: 0.5542

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: 96
• eval_batch_size: 96
• 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	13	1.0388	0.1801
No log	2.0	26	0.7545	0.5053
No log	3.0	39	0.6380	0.5542

Framework versions

• Transformers 4.21.0.dev0
• Pytorch 1.12.0+cu113
• Datasets 2.3.2
• Tokenizers 0.12.1