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bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-8-fast-24 – AI Model by jojoUla | AlphaNeural AI
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jojoUla
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bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-8-fast-24
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transformers
pytorch
tensorboard
bert
fill-mask
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-8-fast-24
This model is a fine-tuned version of
jojoUla/bert-large-cased-sigir-support-refute-no-label-40
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2261
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: 4e-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
num_epochs: 8.0
Training results
Training Loss
Epoch
Step
Validation Loss
6.4685
1.0
1
1.8119
2.4904
2.0
2
2.1955
1.7897
3.0
3
4.0872
1.5376
4.0
4
1.4032
1.362
5.0
5
0.1965
1.1891
6.0
6
0.4849
1.3099
7.0
7
0.7671
1.5803
8.0
8
0.2706
Framework versions
Transformers 4.29.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3
