metadata
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: controlled-food-recipe-generation
results: []
controlled-food-recipe-generation
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 76.5181
- eval_runtime: 0.0422
- eval_samples_per_second: 23.686
- eval_steps_per_second: 23.686
- epoch: 1.0
- step: 1
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