metadata
license: mit
base_model: facebook/bart-large-cnn
tags:
- generated_from_keras_callback
model-index:
- name: s-man2099/fblc-500
results: []
s-man2099/fblc-500
This model is a fine-tuned version of facebook/bart-large-cnn on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 2.8652
- Validation Loss: 3.3984
- Epoch: 8
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': 'Adafactor', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 6e-06, 'beta_2_decay': -0.8, 'epsilon_1': 1e-30, 'epsilon_2': 0.001, 'clip_threshold': 1.0, 'relative_step': True}
- training_precision: mixed_float16
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 3.7792 | 3.4643 | 0 |
| 3.5354 | 3.4117 | 1 |
| 3.3964 | 3.3825 | 2 |
| 3.2850 | 3.3765 | 3 |
| 3.1830 | 3.3616 | 4 |
| 3.0837 | 3.3737 | 5 |
| 2.9746 | 3.3838 | 6 |
| 2.8861 | 3.3932 | 7 |
| 2.8652 | 3.3984 | 8 |
Framework versions
- Transformers 4.34.1
- TensorFlow 2.14.0
- Datasets 2.14.6
- Tokenizers 0.14.1