distilgpt2-fables-demo

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distilgpt2-fables-demo

Training: The model has been trained using the script provided in the following repository https://github.com/MorenoLaQuatra/transformers-tasks-templates

This model is a fine-tuned version of distilgpt2 on demelin/understanding_fables dataset. It achieves the following results on the evaluation set:

• Loss: 3.2165

Model description

The model is a demo for the fine-tuning of decoder-only models using transformers library.

Intended uses & limitations

It can be used mainly for prototyping and educational purposes.

Training and evaluation data

The demelin/understanding_fables dataset has been split into train/test/validation using an 80/10/10 random split (random_seed = 42). Google Colab has been used for model fine-tuning.

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 10

Training results

Framework versions

• Transformers 4.22.1
• Pytorch 1.12.1+cu113
• Datasets 2.4.0
• Tokenizers 0.12.1