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sts_nli_roberta-large_lr1e-05_wd1e-03_ep3_lr1e-05_wd1e-03_ep4_ckpt – AI Model by ys7yoo | AlphaNeural AI
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ys7yoo
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sts_nli_roberta-large_lr1e-05_wd1e-03_ep3_lr1e-05_wd1e-03_ep4_ckpt
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transformers
pytorch
roberta
text-classification
generated_from_trainer
klue
ys7yoo/nli_roberta-large_lr1e-05_wd1e-03_ep3
finetune
autotrain_compatible
endpoints_compatible
us
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sts_nli_roberta-large_lr1e-05_wd1e-03_ep3_lr1e-05_wd1e-03_ep4_ckpt
This model is a fine-tuned version of
ys7yoo/nli_roberta-large_lr1e-05_wd1e-03_ep3
on the klue dataset. It achieves the following results on the evaluation set:
Loss: 0.3223
Mse: 0.3223
Mae: 0.4149
R2: 0.8524
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: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Mse
Mae
R2
0.9853
1.0
183
0.4953
0.4953
0.5298
0.7732
0.1304
2.0
366
0.3296
0.3296
0.4323
0.8491
0.0956
3.0
549
0.3286
0.3286
0.4159
0.8496
0.0751
4.0
732
0.3223
0.3223
0.4149
0.8524
Framework versions
Transformers 4.33.2
Pytorch 2.0.1+cu117
Datasets 2.13.0
Tokenizers 0.13.3
