gbert-large-finetuned-cust18 – AI Model by shafin | AlphaNeural AI

You can deploy this model and start earning money today!

shafin/
gbert-large-finetuned-cust18

like

0

generated_from_trainer

autotrain_compatible

endpoints_compatible

Views

No views yet

gbert-large-finetuned-cust18

This model is a fine-tuned version of deepset/gbert-large on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1232

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: 20
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.604	1.0	391	0.3560
0.3497	2.0	782	0.2838
0.2812	3.0	1173	0.2484
0.2452	4.0	1564	0.2232
0.2253	5.0	1955	0.2240
0.2202	6.0	2346	0.1993
0.1922	7.0	2737	0.1747
0.182	8.0	3128	0.1631
0.1609	9.0	3519	0.1555
0.1553	10.0	3910	0.1434
0.147	11.0	4301	0.1399
0.144	12.0	4692	0.1340
0.1307	13.0	5083	0.1319
0.128	14.0	5474	0.1490
0.1304	15.0	5865	0.1338
0.1165	16.0	6256	0.1233
0.1456	17.0	6647	0.1673
0.1419	18.0	7038	0.1591
0.1447	19.0	7429	0.1360
0.1317	20.0	7820	0.1232

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3