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HW2-reward – AI Model by bachephysicdun | AlphaNeural AI

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bachephysicdun/
HW2-reward

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text-classification

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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HW2-reward

This model was trained from scratch 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: 4
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