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electra-base-discriminator-detect-dep – AI Model by Trong-Nghia | AlphaNeural AI
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Trong-Nghia
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electra-base-discriminator-detect-dep
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transformers
pytorch
tensorboard
electra
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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electra-base-discriminator-detect-dep
This model is a fine-tuned version of
google/electra-base-discriminator
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5410
Accuracy: 0.738
F1: 0.8104
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-06
train_batch_size: 16
eval_batch_size: 16
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
Accuracy
F1
No log
1.0
376
0.5444
0.742
0.8213
0.6126
2.0
752
0.5450
0.739
0.8145
0.5749
3.0
1128
0.5410
0.738
0.8104
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
