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gpt2-wikitext2 – AI Model by SecDef | AlphaNeural AI
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SecDef
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gpt2-wikitext2
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transformers
tensorboard
safetensors
gpt2
text-generation
generated_from_trainer
openai-community/gpt2
finetune
mit
text-generation-inference
endpoints_compatible
us
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gpt2-wikitext2
This model is a fine-tuned version of
gpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 6.0831
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
6.4551
1.0
2249
6.4251
6.1008
2.0
4498
6.1675
5.9276
3.0
6747
6.0831
Framework versions
Transformers 4.56.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.0
