nli_sts_roberta_large_lr1e-05_wd1e-03_ep10_lr1e-05_wd1e-03_ep10_ckpt – AI Model by ys7yoo | AlphaNeural AI

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ys7yoo/
nli_sts_roberta_large_lr1e-05_wd1e-03_ep10_lr1e-05_wd1e-03_ep10_ckpt

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text-classification

generated_from_trainer

ys7yoo/sts_roberta_large_lr1e-05_wd1e-03_ep10

autotrain_compatible

endpoints_compatible

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nli_sts_roberta_large_lr1e-05_wd1e-03_ep10_lr1e-05_wd1e-03_ep10_ckpt

This model is a fine-tuned version of ys7yoo/sts_roberta_large_lr1e-05_wd1e-03_ep10 on the klue dataset. It achieves the following results on the evaluation set:

Loss: 0.6903
Accuracy: 0.8963
F1: 0.8962

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	Accuracy	F1
0.6445	1.0	391	0.4254	0.852	0.8512
0.2943	2.0	782	0.3371	0.889	0.8886
0.1586	3.0	1173	0.3704	0.888	0.8881
0.0921	4.0	1564	0.4429	0.892	0.8919
0.0565	5.0	1955	0.4864	0.899	0.8989
0.0378	6.0	2346	0.5727	0.8963	0.8962
0.0238	7.0	2737	0.6247	0.8957	0.8955
0.016	8.0	3128	0.6578	0.8947	0.8945
0.0101	9.0	3519	0.6780	0.8953	0.8952
0.0067	10.0	3910	0.6903	0.8963	0.8962

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu117
Datasets 2.13.0
Tokenizers 0.13.3