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--- |
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license: apache-2.0 |
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base_model: distilgpt2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: wikipedia-20230601.ace |
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results: [] |
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datasets: |
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- graelo/wikipedia |
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metrics: |
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- perplexity |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# wikipedia-20230601.ace |
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This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the graelo/wikipedia-20230601.ace dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0119 |
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## Model description |
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This model finetune distilgpt2 to Acehnese just for experiment purpose |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 3.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.2459 | 1.0 | 673 | 1.0254 | |
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| 1.7159 | 2.0 | 1346 | 1.0161 | |
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| 1.6392 | 3.0 | 2019 | 1.0119 | |
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### Perplexity |
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Datatest: `load_dataset("graelo/wikipedia", "20230601.ace", split="train[-10%:]")` |
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- original distilgpt2 : 40.5980 |
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- this model (finetuned) : 3.9992 |
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### Framework versions |
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- Transformers 4.32.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
