xlm-roberta-base-finetuned-panx-it

This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.2604
• F1: 0.8442

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
0.6881	1.0	70	0.2954	0.7657
0.2626	2.0	140	0.2503	0.8156
0.1755	3.0	210	0.2604	0.8442

Framework versions

• Transformers 4.41.1
• Pytorch 2.2.2
• Datasets 2.19.1
• Tokenizers 0.19.1