| --- |
| license: mit |
| tags: |
| - generated_from_keras_callback |
| - summarization |
| model-index: |
| - name: KostiuchenkoArtem/bart_large_multi_modified |
| results: [] |
| datasets: |
| - multi_news |
| language: |
| - en |
| --- |
| |
| <!-- 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. --> |
|
|
| # KostiuchenkoArtem/bart_large_multi_modified |
| |
| This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/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 |
