This model is a fine-tuned version of distilbert/distilgpt2 on the dany0407/eli5_category dataset, as part of the HuggingFace Casual Language modelling guide.
It achieves the following results on the evaluation set:
Loss: 3.8031
Model description
Distil gpt2 fine-tuned on eli5 dataset
Intended uses & limitations
exploration and re-aquainting myself with fineruning/training at home
Training and evaluation data
dany0407/eli5_category
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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
