metadata
license: apache-2.0
base_model: bert-base-uncased
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 bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 3.9979
- Validation Loss: 4.3630
- Epoch: 13
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 |
|---|---|---|
| 7.3929 | 6.0819 | 0 |
| 5.9912 | 5.8303 | 1 |
| 5.7553 | 5.5854 | 2 |
| 5.5082 | 5.3645 | 3 |
| 5.2836 | 5.1815 | 4 |
| 5.0867 | 5.0252 | 5 |
| 4.9075 | 4.8834 | 6 |
| 4.7424 | 4.7747 | 7 |
| 4.5947 | 4.6684 | 8 |
| 4.4570 | 4.5836 | 9 |
| 4.3290 | 4.5194 | 10 |
| 4.2123 | 4.4408 | 11 |
| 4.1037 | 4.3965 | 12 |
| 3.9979 | 4.3630 | 13 |
Framework versions
- Transformers 4.44.0
- TensorFlow 2.16.1
- Datasets 2.21.0
- Tokenizers 0.19.1