MRR_QA_BRT_15K_UNTIL_2_08

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: 1.0585

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: 1
• eval_batch_size: 1
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
0.9713	1.0	11594	1.1155
0.8918	2.0	23188	1.0256
0.9939	3.0	34782	1.0284
0.7113	4.0	46376	0.8892
0.6961	5.0	57970	0.8689
0.6308	6.0	69564	0.8036
0.4743	7.0	81158	0.9601
0.4245	8.0	92752	0.9345
0.4031	9.0	104346	0.9640
0.4351	10.0	115940	1.0585

Framework versions

• Transformers 4.32.0.dev0
• Pytorch 2.0.1+cu117
• Datasets 2.13.1
• Tokenizers 0.13.3