---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_keras_callback
model-index:
- name: tgoktug/my_awesome_bart_last_model
  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. -->

# tgoktug/my_awesome_bart_last_model

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: 0.4850
- Validation Loss: 0.7496
- Epoch: 9

## 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 |
|:----------:|:---------------:|:-----:|
| 1.0800     | 0.8442          | 0     |
| 0.8821     | 0.7902          | 1     |
| 0.7957     | 0.7638          | 2     |
| 0.7312     | 0.7532          | 3     |
| 0.6764     | 0.7397          | 4     |
| 0.6322     | 0.7401          | 5     |
| 0.5949     | 0.7364          | 6     |
| 0.5522     | 0.7387          | 7     |
| 0.5153     | 0.7502          | 8     |
| 0.4850     | 0.7496          | 9     |


### Framework versions

- Transformers 4.32.1
- TensorFlow 2.12.0
- Datasets 2.14.4
- Tokenizers 0.13.3