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controlled-food-recipe-generation – AI Model by Shresthadev403 | AlphaNeural AI

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Shresthadev403/
controlled-food-recipe-generation

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text-generation

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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controlled-food-recipe-generation

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 0.9067
eval_runtime: 1378.1375
eval_samples_per_second: 108.843
eval_steps_per_second: 1.701
epoch: 21.33
step: 900000

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: 32
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 100
mixed_precision_training: Native AMP

Framework versions

Transformers 4.37.0
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.1