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GPT2QA_wikiqa – AI Model by amaanbadure | AlphaNeural AI
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amaanbadure
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GPT2QA_wikiqa
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transformers
pytorch
gpt2
text-classification
generated_from_trainer
wiki_qa
openai-community/gpt2
finetune
mit
model-index
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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GPT2QA_wikiqa
This model is a fine-tuned version of
gpt2
on the wiki_qa dataset. It achieves the following results on the evaluation set:
Loss: 0.2413
Accuracy: 0.9579
F1: 0.0
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: 4
eval_batch_size: 4
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
F1
0.1963
1.0
1387
0.2651
0.9579
0.0
0.2095
2.0
2774
0.2413
0.9579
0.0
Framework versions
Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
