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---
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
|