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distilgpt2-finetuned-recipe-nlg-generator

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distilgpt2-finetuned-recipe-nlg-generator / README.md
Hoang Pham
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metadata
library_name: transformers
license: apache-2.0
base_model: distilbert/distilgpt2
tags:
  - generated_from_trainer
datasets:
  - recipe_nlg
model-index:
  - name: distilgpt2-finetuned-recipe-nlg-generator
    results: []

distilgpt2-finetuned-recipe-nlg-generator

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: 0.0517

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 0.1018
No log 2.0 112 0.0517

Framework versions

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