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gpt2-qnli – AI Model by lightsout19 | AlphaNeural AI
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lightsout19
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gpt2-qnli
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transformers
tensorboard
safetensors
gpt2
text-classification
generated_from_trainer
openai-community/gpt2
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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gpt2-qnli
This model is a fine-tuned version of
gpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3356
Accuracy: 0.8894
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.387
1.0
6547
0.3051
0.8706
0.3131
2.0
13094
0.3329
0.8649
0.2659
3.0
19641
0.2979
0.8889
0.2127
4.0
26188
0.3356
0.8894
0.1845
5.0
32735
0.3882
0.8883
Framework versions
Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0
