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---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Electro98/my_awesome_model_v2
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. -->
# Electro98/my_awesome_model_v2
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.1620
- Validation Loss: 0.1617
- Train F1: 0.0731
- Train Accuracy: 0.1217
- Epoch: 12
## 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': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 1056100, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32
### Training results
| Train Loss | Validation Loss | Train F1 | Train Accuracy | Epoch |
|:----------:|:---------------:|:--------:|:--------------:|:-----:|
| 0.1841 | 0.1586 | 0.0441 | 0.0484 | 0 |
| 0.1733 | 0.1553 | 0.0447 | 0.0537 | 1 |
| 0.1628 | 0.1516 | 0.0757 | 0.0990 | 2 |
| 0.1600 | 0.1559 | 0.0700 | 0.1263 | 3 |
| 0.1634 | 0.1549 | 0.0662 | 0.0956 | 4 |
| 0.1620 | 0.1526 | 0.0611 | 0.0777 | 5 |
| 0.1622 | 0.1718 | 0.0809 | 0.0865 | 6 |
| 0.1625 | 0.1577 | 0.0498 | 0.0942 | 7 |
| 0.1649 | 0.1566 | 0.0799 | 0.1404 | 8 |
| 0.1684 | 0.1585 | 0.0700 | 0.1262 | 9 |
| 0.1628 | 0.1582 | 0.0802 | 0.1112 | 10 |
| 0.1605 | 0.1614 | 0.0651 | 0.1065 | 11 |
| 0.1620 | 0.1617 | 0.0731 | 0.1217 | 12 |
### Framework versions
- Transformers 4.27.4
- TensorFlow 2.10.0
- Datasets 2.18.0
- Tokenizers 0.13.3
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