|
--- |
|
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 |
|
|
