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gpt2_medium – AI Model by Stephanie-S | AlphaNeural AI
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Stephanie-S
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gpt2_medium
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transformers
safetensors
gpt2
text-classification
generated_from_trainer
openai-community/gpt2-medium
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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gpt2_medium
This model is a fine-tuned version of
gpt2-medium
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1775
Accuracy: 0.9528
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: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.2182
1.0
1250
0.2023
0.9366
0.1332
2.0
2500
0.1775
0.9528
Framework versions
Transformers 4.39.3
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2
