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bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-8-20 – 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-LR10-8-20
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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-LR10-8-20
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: 1.9919
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
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
4.7553
1.0
3
4.4727
3.0507
2.0
6
1.4438
2.0337
3.0
9
1.8337
1.9326
4.0
12
1.6032
1.8763
5.0
15
1.0935
1.132
6.0
18
1.3795
1.2757
7.0
21
1.2860
1.4333
8.0
24
1.4140
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3