bert-base-cased-squad2-coffee20230108

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

• Loss: 4.3047

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	91	1.9687
2.3297	2.0	182	1.7777
1.5351	3.0	273	1.9963
0.9318	4.0	364	2.1472
0.6973	5.0	455	2.3928
0.4767	6.0	546	2.4984
0.3988	7.0	637	2.7923
0.2823	8.0	728	3.2482
0.1804	9.0	819	3.2490
0.1104	10.0	910	3.6360
0.0835	11.0	1001	3.8134
0.0835	12.0	1092	4.1694
0.0388	13.0	1183	4.2699
0.0371	14.0	1274	4.2752
0.0147	15.0	1365	4.3047

Framework versions

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