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: 0.1759
• F1: 0.8530

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
0.2974	1.0	835	0.1996	0.8084
0.1562	2.0	1670	0.1703	0.8431
0.101	3.0	2505	0.1759	0.8530

Framework versions

• Transformers 4.42.4
• Pytorch 2.2.1+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1