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gpt-finetuned-recipes – AI Model by simonneupane | AlphaNeural AI
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gpt-finetuned-recipes
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transformers
tensorboard
safetensors
gpt2
text-generation
generated_from_trainer
openai-community/gpt2
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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gpt-finetuned-recipes
This model is a fine-tuned version of
gpt2
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: nan
eval_runtime: 2683.9162
eval_samples_per_second: 17.261
eval_steps_per_second: 8.631
epoch: 2.0290
step: 47000
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: 1e-05
train_batch_size: 8
eval_batch_size: 2
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_ratio: 0.1
num_epochs: 5
Framework versions
Transformers 4.53.1
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
