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---
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_trainer
model-index:
- name: wikipedia-20230601.ace
results: []
datasets:
- graelo/wikipedia
metrics:
- perplexity
---
<!-- 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. -->
# wikipedia-20230601.ace
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the graelo/wikipedia-20230601.ace dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0119
## Model description
This model finetune distilgpt2 to Acehnese just for experiment purpose
## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.2459 | 1.0 | 673 | 1.0254 |
| 1.7159 | 2.0 | 1346 | 1.0161 |
| 1.6392 | 3.0 | 2019 | 1.0119 |
### Perplexity
Datatest: `load_dataset("graelo/wikipedia", "20230601.ace", split="train[-10%:]")`
- original distilgpt2 : 40.5980
- this model (finetuned) : 3.9992
### Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3 |