xlm-roberta-base-squad2-finetuned-squad-2

This model is a fine-tuned version of deepset/xlm-roberta-base-squad2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.8184

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: 0.0002
• 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: 5

Training results

Training Loss	Epoch	Step	Validation Loss
1.8002	1.0	5000	1.6125
1.6407	2.0	10000	1.7686
1.4773	3.0	15000	1.7135
0.997	4.0	20000	1.5725
0.7288	5.0	25000	1.8184

Framework versions

• Transformers 4.41.2
• Pytorch 2.1.2
• Datasets 2.19.2
• Tokenizers 0.19.1