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gbert-base-MLM-eu-or-ddr – AI Model by jonas-luehrs | AlphaNeural AI
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gbert-base-MLM-eu-or-ddr
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transformers
pytorch
bert
fill-mask
generated_from_trainer
deepset/gbert-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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gbert-base-MLM-eu-or-ddr
This model is a fine-tuned version of
deepset/gbert-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.3578
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: 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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
1.9428
1.0
403
1.5950
1.6342
2.0
806
1.4453
1.5324
3.0
1209
1.3751
1.4729
4.0
1612
1.3533
1.4536
5.0
2015
1.3389
Framework versions
Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3
