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nb-bert-base-domainaddapt-reddit – AI Model by Haldis | AlphaNeural AI
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Haldis
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nb-bert-base-domainaddapt-reddit
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transformers
pytorch
tensorboard
bert
fill-mask
generated_from_trainer
cc-by-4.0
autotrain_compatible
endpoints_compatible
us
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nb-bert-base-domainaddapt-reddit
This model is a fine-tuned version of
NbAiLab/nb-bert-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.5989
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: 2e-05
train_batch_size: 17
eval_batch_size: 17
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
3.1883
1.0
706
2.7930
2.8185
2.0
1412
2.6622
2.7214
3.0
2118
2.5331
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu118
Tokenizers 0.13.3
