hub-gpt2-wiki3
This model is a fine-tuned version of gpt2 on the wikitext wikitext-2-raw-v1 dataset. It achieves the following results on the evaluation set:
- Loss: 3.0513
- Accuracy: 0.4259
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: 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
Framework versions
- Transformers 4.40.0.dev0
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.1
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Model tree for kendahl/hub-gpt2-wiki3
Base model
openai-community/gpt2Dataset used to train kendahl/hub-gpt2-wiki3
Evaluation results
- Accuracy on wikitext wikitext-2-raw-v1self-reported0.426