xlm-roberta-base-finetuned-panx-fr

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: 0.2707
• F1: 0.8473

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
0.5674	1.0	191	0.3484	0.7736
0.2626	2.0	382	0.2861	0.8266
0.179	3.0	573	0.2707	0.8473

Framework versions

• Transformers 4.34.1
• Pytorch 2.0.1
• Datasets 2.12.0
• Tokenizers 0.14.1