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gpt2-wikitext2 – AI Model by Subidubi | AlphaNeural AI
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gpt2-wikitext2
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transformers
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:
eval_loss: 7.1915
eval_runtime: 21.0192
eval_samples_per_second: 92.011
eval_steps_per_second: 11.513
epoch: 0.1792
step: 403
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
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
