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---
base_model: google/pegasus-multi_news
tags:
- generated_from_keras_callback
model-index:
- name: folflo/pegasus-multi_news-finetuned-HunSum-1_v1208
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. -->
# folflo/pegasus-multi_news-finetuned-HunSum-1_v1208
This model is a fine-tuned version of [google/pegasus-multi_news](https://huggingface.co/google/pegasus-multi_news) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 1.7129
- Validation Loss: 1.7265
- Epoch: 7
## 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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 99664, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: mixed_float16
### Training results
| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 2.5171 | 2.1168 | 0 |
| 2.0838 | 1.9454 | 1 |
| 1.9380 | 1.8644 | 2 |
| 1.8526 | 1.8065 | 3 |
| 1.7954 | 1.7678 | 4 |
| 1.7555 | 1.7444 | 5 |
| 1.7287 | 1.7307 | 6 |
| 1.7129 | 1.7265 | 7 |
### Framework versions
- Transformers 4.35.2
- TensorFlow 2.14.0
- Datasets 2.15.0
- Tokenizers 0.15.0
|