---
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