---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: MariaDB10ALBERT_Unbalance
  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. -->

# MariaDB10ALBERT_Unbalance

This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.1092
- Train Accuracy: 0.9665
- Validation Loss: 0.2438
- Validation Accuracy: 0.9447
- Epoch: 7

## 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': 0.001, 'clipnorm': 1.0, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': 3e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 0.2705     | 0.9155         | 0.2016          | 0.9523              | 0     |
| 0.2344     | 0.9180         | 0.2089          | 0.9523              | 1     |
| 0.2400     | 0.9255         | 0.1977          | 0.9523              | 2     |
| 0.2184     | 0.9247         | 0.2043          | 0.9497              | 3     |
| 0.2131     | 0.9222         | 0.1947          | 0.9447              | 4     |
| 0.1781     | 0.9356         | 0.2098          | 0.9447              | 5     |
| 0.1454     | 0.9448         | 0.2270          | 0.9523              | 6     |
| 0.1092     | 0.9665         | 0.2438          | 0.9447              | 7     |


### Framework versions

- Transformers 4.29.2
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3