xlm-roberta-base-finetuned-panx-all

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: 0.1717
• F1: 0.8544

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
0.2993	1.0	835	0.1903	0.8089
0.1546	2.0	1670	0.1726	0.8428
0.1017	3.0	2505	0.1717	0.8544

Framework versions

• Transformers 4.13.0
• Pytorch 2.1.2+cu121
• Datasets 2.16.1
• Tokenizers 0.10.3