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hung200504/
bert-squad-covidqa

Name: bert-squad-covidqa
Availability: InStock

generated_from_trainer

covid_qa_deepset

hung200504/bert-squadv2

finetune

mit

endpoints_compatible

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bert-squad-covidqa

This model is a fine-tuned version of hung200504/bert-squadv2 on the covid_qa_deepset dataset. It achieves the following results on the evaluation set:

Loss: 0.5141

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
4.1636	0.09	5	1.4553
0.8433	0.18	10	0.6359
0.8245	0.26	15	0.5610
0.5916	0.35	20	0.5416
0.5899	0.44	25	0.5148
0.4838	0.53	30	0.4996
0.4501	0.61	35	0.4929
0.7377	0.7	40	0.4610
0.455	0.79	45	0.4645
0.478	0.88	50	0.4745
0.3672	0.96	55	0.4803
0.6509	1.05	60	0.4875
0.3094	1.14	65	0.5089
0.3203	1.23	70	0.5751
0.3955	1.32	75	0.5416
0.6197	1.4	80	0.4848
0.455	1.49	85	0.4716
0.4086	1.58	90	0.4738
0.5028	1.67	95	0.4818
0.4953	1.75	100	0.4867
0.557	1.84	105	0.4826
0.3139	1.93	110	0.4832
0.3217	2.02	115	0.4921
0.4175	2.11	120	0.5056
0.3471	2.19	125	0.5204
0.209	2.28	130	0.5321
0.5151	2.37	135	0.5285
0.441	2.46	140	0.5141
0.3022	2.54	145	0.5031
0.3789	2.63	150	0.5002
0.2917	2.72	155	0.5041
0.372	2.81	160	0.5097
0.4001	2.89	165	0.5105
0.1803	2.98	170	0.5141

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.5
Tokenizers 0.14.1

hung200504/bert-squad-covidqa

bert-squad-covidqa

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

hung200504/
bert-squad-covidqa