sts_roberta_large_lr1e-05_wd1e-03_ep10_ckpt – AI Model by ys7yoo | AlphaNeural AI

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ys7yoo/
sts_roberta_large_lr1e-05_wd1e-03_ep10_ckpt

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text-classification

generated_from_trainer

klue/roberta-large

autotrain_compatible

endpoints_compatible

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sts_roberta_large_lr1e-05_wd1e-03_ep10_ckpt

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

Loss: 0.3764
Mse: 0.3764
Mae: 0.4512
R2: 0.8277

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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Mse	Mae	R2
2.3411	1.0	183	1.0407	1.0407	0.7779	0.5234
0.1725	2.0	366	0.3938	0.3938	0.4710	0.8197
0.1203	3.0	549	0.3972	0.3972	0.4594	0.8181
0.093	4.0	732	0.4030	0.4030	0.4675	0.8155
0.0727	5.0	915	0.4102	0.4102	0.4690	0.8122
0.0591	6.0	1098	0.3700	0.3700	0.4470	0.8306
0.0482	7.0	1281	0.3578	0.3578	0.4403	0.8362
0.0417	8.0	1464	0.4042	0.4042	0.4696	0.8149
0.037	9.0	1647	0.4151	0.4151	0.4753	0.8099
0.0337	10.0	1830	0.3764	0.3764	0.4512	0.8277

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu117
Datasets 2.13.0
Tokenizers 0.13.3