metadata
license: mit
tags:
- generated_from_keras_callback
- summarization
model-index:
- name: KostiuchenkoArtem/bart_large_multi_modified
results: []
datasets:
- multi_news
language:
- en
KostiuchenkoArtem/bart_large_multi_modified
This model is a fine-tuned version of facebook/bart-large-cnn on Multi-News dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.8945
- Validation Loss: 2.1223
- Epoch: 1
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 |
|---|---|---|
| 2.2231 | 2.1476 | 0 |
| 1.8945 | 2.1223 | 1 |
Framework versions
- Transformers 4.29.2
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3