---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: historical-events-reimagined
  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. -->

# historical-events-reimagined

This model is a fine-tuned version of [philschmid/bart-large-cnn-samsum](https://huggingface.co./philschmid/bart-large-cnn-samsum) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.5102
- Validation Loss: 2.2624
- Epoch: 4

## 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 |
|:----------:|:---------------:|:-----:|
| 2.7539     | 2.1578          | 0     |
| 1.6416     | 1.9498          | 1     |
| 1.1524     | 1.9922          | 2     |
| 0.7703     | 2.1343          | 3     |
| 0.5102     | 2.2624          | 4     |


### Framework versions

- Transformers 4.27.3
- TensorFlow 2.11.0
- Datasets 2.10.1
- Tokenizers 0.13.2