---
license: apache-2.0
base_model: albert-base-v2
tags:
- generated_from_keras_callback
model-index:
- name: ayshi/albert
  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. -->

# ayshi/albert

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: 0.4479
- Validation Loss: 1.1225
- Train Accuracy: 0.7022
- 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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 650, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_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 |
|:----------:|:---------------:|:--------------:|:-----:|
| 1.2151     | 1.1505          | 0.6667         | 0     |
| 1.1415     | 1.1152          | 0.6667         | 1     |
| 1.0302     | 1.1222          | 0.6667         | 2     |
| 0.8825     | 1.0611          | 0.68           | 3     |
| 0.7690     | 1.0625          | 0.6756         | 4     |
| 0.6847     | 1.0749          | 0.6711         | 5     |
| 0.5797     | 1.1264          | 0.6844         | 6     |
| 0.5174     | 1.1074          | 0.6978         | 7     |
| 0.4699     | 1.1323          | 0.6978         | 8     |
| 0.4479     | 1.1225          | 0.7022         | 9     |


### Framework versions

- Transformers 4.34.0
- TensorFlow 2.13.0
- Datasets 2.14.5
- Tokenizers 0.14.1