RobertaLr1e-6Wd0.01

This model is a fine-tuned version of deepset/roberta-base-squad2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.7289

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: 1e-06
• 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: 12

Training results

Training Loss	Epoch	Step	Validation Loss
1.3011	1.0	72	1.7301
1.3414	2.0	144	1.3252
1.378	3.0	216	1.1269
1.1353	4.0	288	1.0078
0.7978	5.0	360	0.9194
0.4547	6.0	432	0.8651
0.5996	7.0	504	0.8146
0.7746	8.0	576	0.7844
0.3917	9.0	648	0.7629
0.8108	10.0	720	0.7422
0.7831	11.0	792	0.7331
0.6516	12.0	864	0.7289

Framework versions

• Transformers 4.41.2
• Pytorch 2.4.0
• Datasets 2.20.0
• Tokenizers 0.19.1