transformers tf bart text2text-generation generated_from_keras_callback base_model:facebook/bart-base license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_keras_callback
model-index:
- name: iguerrasevillano/BART-summ-v1
  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. -->

# iguerrasevillano/BART-summ-v1

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: 2.8544
- Validation Loss: 3.5359
- Train Rouge1: 31.2594
- Train Rouge2: 8.1428
- Train Rougel: 22.0263
- Train Rougelsum: 23.4245
- Train Gen Len: 43.0
- Epoch: 2

## 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 | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch |
|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
| 3.3082     | 3.5055          | 33.4698      | 11.4810      | 25.8186      | 26.5162         | 43.625        | 0     |
| 3.0832     | 3.4774          | 31.7424      | 10.0784      | 23.7737      | 24.7615         | 42.625        | 1     |
| 2.8544     | 3.5359          | 31.2594      | 8.1428       | 22.0263      | 23.4245         | 43.0          | 2     |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.16.1
- Tokenizers 0.15.1
