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HW2-supervised – AI Model by bachephysicdun | AlphaNeural AI | AlphaNeural AI
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HW2-supervised
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transformers
safetensors
gpt2
text-generation
trl
sft
generated_from_trainer
piqa
openai-community/gpt2
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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HW2-supervised
This model is a fine-tuned version of
openai-community/gpt2
on the piqa dataset.
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Framework versions
Transformers 4.44.2
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1