nli_sts_klue_roberta_large_ep5_ep5 – AI Model by ys7yoo | AlphaNeural AI

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ys7yoo/
nli_sts_klue_roberta_large_ep5_ep5

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text-classification

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ys7yoo/nli_klue_roberta_large_ep5

autotrain_compatible

endpoints_compatible

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sts_ys7yoo_nli_klue_roberta_large_ep5_ep5

This model is a fine-tuned version of ys7yoo/nli_klue_roberta_large_ep5 on the klue dataset. It achieves the following results on the evaluation set:

Loss: 0.3389
Mse: 0.3389
Mae: 0.4252
R2: 0.8448

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: 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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Mse	Mae	R2
0.838	1.0	183	0.6427	0.6427	0.6072	0.7057
0.1578	2.0	366	0.3120	0.3120	0.4220	0.8571
0.1013	3.0	549	0.4612	0.4612	0.5016	0.7888
0.0676	4.0	732	0.2982	0.2982	0.3974	0.8635
0.0436	5.0	915	0.3389	0.3389	0.4252	0.8448

Framework versions

Transformers 4.33.1
Pytorch 2.0.1+cu117
Datasets 2.13.0
Tokenizers 0.13.3