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bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-8-8 – 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-LR10-8-8
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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-LR10-8-8
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: 2.3560
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
6.3161
1.0
1
6.8815
7.1412
2.0
2
2.8177
7.0942
3.0
3
3.1844
5.4098
4.0
4
0.2983
2.9057
5.0
5
0.9291
2.5752
6.0
6
2.2317
2.5699
7.0
7
1.5653
1.3573
8.0
8
0.0850
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3
