roberta-base-squad2-ta-qna-roberta10e

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

• Loss: 0.2952

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: 3e-05
• train_batch_size: 8
• eval_batch_size: 8
• 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
No log	1.0	87	0.5890
No log	2.0	174	0.4194
No log	3.0	261	0.3104
No log	4.0	348	0.3037
No log	5.0	435	0.2723
0.2889	6.0	522	0.2368
0.2889	7.0	609	0.2974
0.2889	8.0	696	0.2923
0.2889	9.0	783	0.2936
0.2889	10.0	870	0.2952

Framework versions

• Transformers 4.22.1
• Pytorch 1.12.1+cu113
• Datasets 2.4.0
• Tokenizers 0.12.1