|
--- |
|
license: mit |
|
base_model: facebook/bart-large-cnn |
|
tags: |
|
- generated_from_keras_callback |
|
model-index: |
|
- name: s-man2099/fblc-2500 |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information Keras had access to. You should |
|
probably proofread and complete it, then remove this comment. --> |
|
|
|
# s-man2099/fblc-2500 |
|
|
|
This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Train Loss: 2.7399 |
|
- Validation Loss: 3.3678 |
|
- Epoch: 9 |
|
|
|
## 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 | |
|
|:----------:|:---------------:|:-----:| |
|
| 3.5482 | 3.3770 | 0 | |
|
| 3.3327 | 3.3388 | 1 | |
|
| 3.2120 | 3.3209 | 2 | |
|
| 3.1087 | 3.3167 | 3 | |
|
| 3.0174 | 3.3238 | 4 | |
|
| 2.9282 | 3.3296 | 5 | |
|
| 2.8477 | 3.3483 | 6 | |
|
| 2.7597 | 3.3612 | 7 | |
|
| 2.7482 | 3.3646 | 8 | |
|
| 2.7399 | 3.3678 | 9 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.34.1 |
|
- TensorFlow 2.14.0 |
|
- Datasets 2.14.6 |
|
- Tokenizers 0.14.1 |
|
|
