roberta-base-finetuned-sts – AI Model by rurupang | AlphaNeural AI

You can deploy this model and start earning money today!

rurupang/
roberta-base-finetuned-sts

like

0

text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

Views

No views yet

roberta-base-finetuned-sts

This model is a fine-tuned version of klue/roberta-base on the klue dataset. It achieves the following results on the evaluation set:

Loss: 0.1999
Pearsonr: 0.9560

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: 1e-05
train_batch_size: 32
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 200
num_epochs: 15
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Pearsonr
No log	1.0	329	0.2462	0.9478
1.2505	2.0	658	0.1671	0.9530
1.2505	3.0	987	0.1890	0.9525
0.133	4.0	1316	0.2360	0.9548
0.0886	5.0	1645	0.2265	0.9528
0.0886	6.0	1974	0.2097	0.9518
0.0687	7.0	2303	0.2281	0.9523
0.0539	8.0	2632	0.2212	0.9542
0.0539	9.0	2961	0.1843	0.9532
0.045	10.0	3290	0.1999	0.9560
0.0378	11.0	3619	0.2357	0.9533
0.0378	12.0	3948	0.2134	0.9541
0.033	13.0	4277	0.2273	0.9540
0.03	14.0	4606	0.2148	0.9533
0.03	15.0	4935	0.2207	0.9534

Framework versions

Transformers 4.17.0
Pytorch 1.10.0+cu111
Datasets 2.0.0
Tokenizers 0.11.6