hoganpham/distilgpt2-finetuned-recipe-nlg-generator

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distilgpt2-finetuned-recipe-nlg-generator

This model is a fine-tuned version of distilgpt2 on the recipe_nlg dataset. It achieves the following results on the evaluation set:

• —Loss: 2.0487

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
• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 10

Training results

Framework versions

• —Transformers 4.44.2
• —Pytorch 2.4.1+cu121
• —Datasets 3.2.0
• —Tokenizers 0.19.1