---
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
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# 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