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bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-8-fast-4 – 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-4
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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-4
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: 0.0104
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
4.202
1.0
1
2.8692
3.013
2.0
2
0.5282
1.4989
3.0
3
2.8251
0.9224
4.0
4
0.0666
1.5338
5.0
5
0.0742
0.758
6.0
6
0.0476
1.3746
7.0
7
2.8224
1.1452
8.0
8
0.0024
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
