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---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Aliissa99/test1
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. -->
# Aliissa99/test1
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0323
- Validation Loss: 3.5297
- Train Accuracy: 0.2927
- 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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 740, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32
### Training results
| Train Loss | Validation Loss | Train Accuracy | Epoch |
|:----------:|:---------------:|:--------------:|:-----:|
| 1.3890 | 1.3861 | 0.3232 | 0 |
| 1.3806 | 1.4063 | 0.2805 | 1 |
| 1.3070 | 1.3859 | 0.2622 | 2 |
| 1.0716 | 1.3617 | 0.3232 | 3 |
| 0.5850 | 2.1415 | 0.2866 | 4 |
| 0.2355 | 2.4630 | 0.3049 | 5 |
| 0.1029 | 3.2950 | 0.2805 | 6 |
| 0.0465 | 3.6229 | 0.2805 | 7 |
| 0.0486 | 3.6676 | 0.2927 | 8 |
| 0.0323 | 3.5297 | 0.2927 | 9 |
### Framework versions
- Transformers 4.30.2
- TensorFlow 2.12.0
- Datasets 2.13.1
- Tokenizers 0.13.3
|