metadata

license: apache-2.0
tags:
  - generated_from_keras_callback
base_model: distilgpt2
model-index:
  - name: eliwill/distilgpt2-finetuned-final-project
    results: []

eliwill/distilgpt2-finetuned-final-project

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

Train Loss: 3.6470
Validation Loss: 3.4162
Epoch: 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:

optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
3.6470	3.4162	0

Framework versions

Transformers 4.18.0
TensorFlow 2.8.0
Datasets 2.1.0
Tokenizers 0.12.1