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---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_keras_callback
model-index:
- name: bart-1
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. -->
# bart-1
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co./facebook/bart-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 2.8511
- Validation Loss: 2.1184
- Train Rouge1: 0.3060
- Train Rouge2: 0.1137
- Train Rougel: 0.2614
- Epoch: 0
## 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': 'Adam', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
### Training results
| Train Loss | Validation Loss | Train Rouge1 | Train Rouge2 | Train Rougel | Epoch |
|:----------:|:---------------:|:------------:|:------------:|:------------:|:-----:|
| 2.8511 | 2.1184 | 0.3060 | 0.1137 | 0.2614 | 0 |
### Framework versions
- Transformers 4.33.0
- TensorFlow 2.10.1
- Datasets 2.14.4
- Tokenizers 0.13.3
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