metadata
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: eli5_fine_tuned_DistilGPT2
results: []
eli5_fine_tuned_DistilGPT2
This model is a fine-tuned version of distilbert/distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 4.1223
- Validation Loss: 3.8353
- 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 |
|---|---|---|
| 4.1223 | 3.8353 | 0 |
Framework versions
- Transformers 4.22.1
- TensorFlow 2.10.0
- Datasets 2.17.1
- Tokenizers 0.12.1