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gelectra-base-injection – AI Model by JasperLS | AlphaNeural AI
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JasperLS
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gelectra-base-injection
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transformers
pytorch
tensorboard
electra
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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gelectra-base-injection
This model is a fine-tuned version of
deepset/gelectra-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0940
Accuracy: 0.9828
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
69
0.2601
0.9397
No log
2.0
138
0.0940
0.9828
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3
