bert-large-cased-sigir-LR10-1-prepend-20 – AI Model by jojoUla | AlphaNeural AI

You can deploy this model and start earning money today!

jojoUla/
bert-large-cased-sigir-LR10-1-prepend-20

like

0

generated_from_trainer

autotrain_compatible

endpoints_compatible

Views

No views yet

bert-large-cased-sigir-LR10-1-prepend-20

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

Loss: 0.8946

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: 4e-05
train_batch_size: 30
eval_batch_size: 30
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
3.8237	1.0	1	2.8391
3.6537	2.0	2	3.8003
1.9566	3.0	3	2.6997
1.0962	4.0	4	2.4019
2.7754	5.0	5	1.0750
2.2666	6.0	6	3.7118
1.33	7.0	7	2.3186
2.1846	8.0	8	2.0246
2.5284	9.0	9	2.0090
1.9864	10.0	10	3.3644
1.8111	11.0	11	2.5410
1.6821	12.0	12	1.2586
1.491	13.0	13	1.4496
1.9611	14.0	14	1.7305
1.4182	15.0	15	1.7722
2.0556	16.0	16	1.2964
0.9024	17.0	17	2.0762
1.5746	18.0	18	2.7421
1.2275	19.0	19	2.1911
1.6938	20.0	20	3.0756

Framework versions

Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2