You can deploy this model and start earning money today!

gokuls/
hBERTv2_stsb

Name: hBERTv2_stsb
Availability: InStock

generated_from_trainer

Views

No views yet

hBERTv2_stsb

This model is a fine-tuned version of gokuls/bert_12_layer_model_v2 on the GLUE STSB dataset. It achieves the following results on the evaluation set:

Loss: 0.9534
Pearson: 0.7722
Spearmanr: 0.7707
Combined Score: 0.7714

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: 256
eval_batch_size: 256
seed: 10
distributed_type: multi-GPU
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Pearson	Spearmanr	Combined Score
4.4386	1.0	23	2.5331	0.1313	0.1071	0.1192
1.8741	2.0	46	2.0517	0.4923	0.4766	0.4844
1.347	3.0	69	1.3556	0.6964	0.7079	0.7022
0.8443	4.0	92	1.2583	0.7340	0.7367	0.7353
0.5822	5.0	115	0.9534	0.7722	0.7707	0.7714
0.4356	6.0	138	1.1921	0.7798	0.7771	0.7785
0.3531	7.0	161	1.3849	0.7701	0.7700	0.7700
0.2712	8.0	184	1.0015	0.7886	0.7870	0.7878
0.259	9.0	207	1.0523	0.7898	0.7874	0.7886
0.2003	10.0	230	1.1525	0.7836	0.7824	0.7830

Framework versions

Transformers 4.26.1
Pytorch 1.14.0a0+410ce96
Datasets 2.10.1
Tokenizers 0.13.2

gokuls/hBERTv2_stsb

hBERTv2_stsb

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

gokuls/
hBERTv2_stsb