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AdQuest-when-how-many – AI Model by nidhinthomas | AlphaNeural AI
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AdQuest-when-how-many
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transformers
tensorboard
safetensors
electra
question-answering
generated_from_trainer
squad_adversarial
nidhinthomas/electra-small-squad-finetuned-synQA
finetune
apache-2.0
endpoints_compatible
us
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AdQuest-when-how-many
This model is a fine-tuned version of
nidhinthomas/electra-small-squad-finetuned-synQA
on the squad_adversarial dataset. It achieves the following results on the evaluation set:
Loss: 2.5231
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: 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
1.0179
1.0
3320
2.2782
0.9379
2.0
6640
2.3738
0.8668
3.0
9960
2.5231
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
