xlm-roberta-base-finetuned-panx-tr-en

This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1897
• F1: 0.8737

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
0.3375	1.0	788	0.2100	0.8356
0.1785	2.0	1576	0.1891	0.8557
0.1195	3.0	2364	0.1897	0.8737

Framework versions

• Transformers 4.36.0
• Pytorch 1.12.0+cu113
• Datasets 2.17.0
• Tokenizers 0.15.0