roberta-base-squad2-coffee20230108

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: 4.2379

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: 5e-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
• lr_scheduler_warmup_steps: 500
• num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	90	1.6912
1.8817	2.0	180	1.7054
1.3233	3.0	270	1.6376
0.9894	4.0	360	2.1005
0.7526	5.0	450	2.7104
0.6553	6.0	540	2.2928
0.5512	7.0	630	2.6380
0.4148	8.0	720	2.8010
0.2964	9.0	810	3.1167
0.2538	10.0	900	3.5313
0.2538	11.0	990	3.6620
0.1918	12.0	1080	4.1138
0.1363	13.0	1170	4.0901
0.1606	14.0	1260	4.2286
0.1162	15.0	1350	4.2379

Framework versions

• Transformers 4.25.1
• Pytorch 1.11.0+cu113
• Datasets 2.8.0
• Tokenizers 0.13.2