metadata

library_name: transformers
license: apache-2.0
base_model: distilgpt2
tags:
  - generated_from_trainer
model-index:
  - name: distilgpt2-finetuned-wikitext2
    results: []

distilgpt2-finetuned-wikitext2

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

eval_loss: 4.4834
eval_model_preparation_time: 0.0028
eval_runtime: 909.1811
eval_samples_per_second: 2.124
eval_steps_per_second: 0.266
step: 0

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: Use adamw_torch 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

Framework versions

Transformers 4.46.2
Pytorch 2.5.1+cu121
Tokenizers 0.20.3