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electra-base-discriminator_squad_mod – AI Model by damapika | AlphaNeural AI
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damapika
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electra-base-discriminator_squad_mod
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transformers
pytorch
tensorboard
electra
question-answering
generated_from_trainer
squad
apache-2.0
endpoints_compatible
us
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electra-base-discriminator_squad_mod
This model is a fine-tuned version of
google/electra-base-discriminator
on the squad dataset. It achieves the following results on the evaluation set:
Loss: 1.0307
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: 3e-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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.8766
1.0
10950
0.8659
0.6171
2.0
21900
0.8856
0.4249
3.0
32850
1.0307
Framework versions
Transformers 4.27.4
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3
