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bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR50-8-fast-8 – 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-LR50-8-fast-8
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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-LR50-8-fast-8
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: 0.1810
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
6.3908
1.0
1
1.5964
2.174
2.0
2
0.2234
1.7775
3.0
3
0.3506
1.7338
4.0
4
0.0005
1.296
5.0
5
1.8670
1.3132
6.0
6
0.6905
1.4215
7.0
7
1.0547
1.1844
8.0
8
2.5048
Framework versions
Transformers 4.29.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3
