bert-17 – AI Model by hung200504 | AlphaNeural AI

You can deploy this model and start earning money today!

hung200504/
bert-17

like

0

question-answering

generated_from_trainer

deepset/bert-base-cased-squad2

endpoints_compatible

Views

No views yet

bert-17

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

Loss: 5.7381

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: 0.0005
train_batch_size: 16
eval_batch_size: 16
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
11.0352	0.09	5	11.3392
10.0155	0.18	10	10.1330
8.6139	0.27	15	9.0228
7.7654	0.36	20	8.0477
7.1161	0.45	25	7.2438
6.486	0.55	30	6.6691
5.9793	0.64	35	6.3524
5.8845	0.73	40	6.2251
5.8619	0.82	45	6.1625
5.7536	0.91	50	6.1058
5.6831	1.0	55	6.0479
5.5525	1.09	60	5.9939
5.4714	1.18	65	5.9510
5.4384	1.27	70	5.9123
5.4539	1.36	75	5.8817
5.4073	1.45	80	5.8593
5.4048	1.55	85	5.8395
5.2997	1.64	90	5.8225
5.2388	1.73	95	5.8099
5.2564	1.82	100	5.7986
5.1758	1.91	105	5.7872
5.1926	2.0	110	5.7800
4.9244	2.09	115	5.7747
5.0897	2.18	120	5.7689
5.2493	2.27	125	5.7610
5.0594	2.36	130	5.7541
5.0792	2.45	135	5.7485
4.9952	2.55	140	5.7455
4.8796	2.64	145	5.7436
4.9344	2.73	150	5.7418
5.2387	2.82	155	5.7402
5.0734	2.91	160	5.7385
5.0227	3.0	165	5.7381

Framework versions

Transformers 4.34.1
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1