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electra-base-squad2-ta-qna-electra – AI Model by venkateshdas | AlphaNeural AI
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venkateshdas
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electra-base-squad2-ta-qna-electra
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transformers
pytorch
tensorboard
electra
question-answering
generated_from_trainer
cc-by-4.0
endpoints_compatible
us
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electra-base-squad2-ta-qna-electra
This model is a fine-tuned version of
deepset/electra-base-squad2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1644
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: 0.0001
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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
44
0.2352
No log
2.0
88
0.1644
Framework versions
Transformers 4.22.1
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1
