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---
library_name: transformers
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_trainer
datasets:
- recipe_nlg
model-index:
- name: distilgpt2-finetuned-recipe-nlg-generator
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilgpt2-finetuned-recipe-nlg-generator
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/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
- 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: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5203 | 1.0 | 250 | 1.7127 |
| 0.1633 | 2.0 | 500 | 1.8375 |
| 0.1527 | 3.0 | 750 | 1.9014 |
| 0.1471 | 4.0 | 1000 | 1.9561 |
| 0.1432 | 5.0 | 1250 | 1.9629 |
| 0.141 | 6.0 | 1500 | 1.9881 |
| 0.1389 | 7.0 | 1750 | 2.0218 |
| 0.1377 | 8.0 | 2000 | 2.0492 |
| 0.1362 | 9.0 | 2250 | 2.0558 |
| 0.1359 | 10.0 | 2500 | 2.0487 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1
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