test_eli5_clm-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
• 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
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
3.9157	1.0	1325	3.8137
3.8203	2.0	2650	3.8041
3.7755	3.0	3975	3.8031

Framework versions

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