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LLMGenFoodRecipe-GPT2

Text Generation

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text-generation-inference

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LLMGenFoodRecipe-GPT2

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

Loss: 0.0490

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
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	56	0.0966
No log	2.0	112	0.0490

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.2.0
Tokenizers 0.19.1

Downloads last month: 2

Safetensors

Model size

81.9M params

Tensor type

F32

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Text Generation

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Base model

distilbert/distilgpt2

Finetuned

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Dataset used to train hoganpham/LLMGenFoodRecipe-GPT2

Evaluation results

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