sbartlett97/test_eli5_clm-model

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testeli5clm-model

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
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 3.0

Training results

Framework versions

• —Transformers 4.57.3
• —Pytorch 2.9.1
• —Datasets 4.4.1
• —Tokenizers 0.22.1