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metadata
base_model: distilbert/distilgpt2
datasets:
  - eli5_category
license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: my_awesome_eli5_clm-model
    results: []

my_awesome_eli5_clm-model

This model is a fine-tuned version of distilbert/distilgpt2 on the eli5_category dataset. It achieves the following results on the evaluation set:

  • Loss: 3.8353

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: 2e-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

Training Loss Epoch Step Validation Loss
3.9459 1.0 1300 3.8436
3.8528 2.0 2600 3.8365
3.8153 3.0 3900 3.8353

Framework versions

  • Transformers 4.42.3
  • Pytorch 2.1.2+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1