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bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-8-fast-2 – 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-2
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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-2
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: 0.2557
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
4.7426
1.0
1
2.0428
2.4807
2.0
2
3.0322
2.568
3.0
3
0.3596
1.9403
4.0
4
0.8993
1.6676
5.0
5
1.8230
1.5614
6.0
6
1.4182
1.165
7.0
7
2.9358
0.3038
8.0
8
2.7772
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
