metadata
library_name: transformers
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_keras_callback
model-index:
- name: node-py/my_awesome_eli5_clm-model
results: []
node-py/my_awesome_eli5_clm-model
This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.7373
- Validation Loss: 1.7236
- Epoch: 6
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 |
|---|---|---|
| 1.8274 | 1.7835 | 0 |
| 1.8107 | 1.7722 | 1 |
| 1.7940 | 1.7603 | 2 |
| 1.7796 | 1.7499 | 3 |
| 1.7652 | 1.7405 | 4 |
| 1.7519 | 1.7368 | 5 |
| 1.7373 | 1.7236 | 6 |
Framework versions
- Transformers 4.44.2
- TensorFlow 2.17.0
- Datasets 3.0.0
- Tokenizers 0.19.1