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sts_roberta-large_lr1e-05_wd1e-03_ep3_ckpt – AI Model by ys7yoo | AlphaNeural AI
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sts_roberta-large_lr1e-05_wd1e-03_ep3_ckpt
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transformers
pytorch
roberta
text-classification
generated_from_trainer
klue
klue/roberta-large
finetune
autotrain_compatible
endpoints_compatible
us
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sts_roberta-large_lr1e-05_wd1e-03_ep3_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: 0.4129
Mse: 0.4129
Mae: 0.4750
R2: 0.8109
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Mse
Mae
R2
1.3435
1.0
183
0.3891
0.3891
0.4693
0.8218
0.1449
2.0
366
0.5301
0.5301
0.5456
0.7572
0.1059
3.0
549
0.4129
0.4129
0.4750
0.8109
Framework versions
Transformers 4.33.2
Pytorch 2.0.1+cu117
Datasets 2.13.0
Tokenizers 0.13.3
