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results_gpt2 – AI Model by Jillian | AlphaNeural AI
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Jillian
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results_gpt2
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transformers
safetensors
gpt2
text-classification
generated_from_trainer
openai-community/gpt2
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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results_gpt2
This model is a fine-tuned version of
gpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2158
Accuracy: 0.9510
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: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.2521
1.0
5596
0.2158
0.9510
0.1472
2.0
11192
0.2516
0.9571
0.0925
3.0
16788
0.2334
0.9598
Framework versions
Transformers 4.50.0
Pytorch 2.6.0+cu124
Tokenizers 0.21.1
