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gbert-job – AI Model by dathi103 | AlphaNeural AI
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dathi103
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gbert-job
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transformers
safetensors
bert
fill-mask
generated_from_trainer
deepset/gbert-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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gbert-job
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: 1.6029
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
1.8553
1.0
9117
1.7487
1.7392
2.0
18234
1.6453
1.695
3.0
27351
1.6029
Framework versions
Transformers 4.38.1
Pytorch 2.1.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2
