metadata

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

my_awesome_eli5_clm-model

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

Loss: 3.9000

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
training_steps: 100

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.08	100	3.9000

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2