xlm-roberta-base-finetuned-squad

This model is a fine-tuned version of xlm-roberta-base on the squad_v2 dataset. It achieves the following results on the evaluation set:

• Loss: 0.9438

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: 2e-05
• train_batch_size: 16
• eval_batch_size: 16
• 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
1.0529	1.0	8333	0.9355
0.8237	2.0	16666	0.9124
0.6552	3.0	24999	0.9438

Framework versions

• Transformers 4.24.0
• Pytorch 1.11.0+cu113
• Datasets 2.7.1
• Tokenizers 0.13.2