---
license: apache-2.0
base_model: facebook/bart-large
tags:
- generated_from_keras_callback
model-index:
- name: pop_genre5
  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. -->

# pop_genre5

This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.3501
- Validation Loss: 0.6153
- Epoch: 7

## 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': 1e-05}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 1.3410     | 0.9278          | 0     |
| 0.8642     | 0.8051          | 1     |
| 0.7179     | 0.6812          | 2     |
| 0.6052     | 0.7129          | 3     |
| 0.5071     | 0.6385          | 4     |
| 0.4461     | 0.6174          | 5     |
| 0.3939     | 0.6276          | 6     |
| 0.3501     | 0.6153          | 7     |


### Framework versions

- Transformers 4.33.1
- TensorFlow 2.13.0
- Datasets 2.14.5
- Tokenizers 0.13.3