---
library_name: transformers
license: apache-2.0
base_model: bert-large-cased
tags:
- generated_from_keras_callback
model-index:
- name: vanhuyen/demo
  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. -->

# vanhuyen/demo

This model is a fine-tuned version of [bert-large-cased](https://huggingface.co/bert-large-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.1698
- Train Accuracy: 0.9359
- Validation Loss: 0.0592
- Validation Accuracy: 0.9877
- 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': 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': 5e-06, 'decay_steps': 24350, '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 | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 1.1965     | 0.5073         | 0.6710          | 0.8000              | 0     |
| 0.7393     | 0.7065         | 0.2841          | 0.9377              | 1     |
| 0.4082     | 0.8426         | 0.1169          | 0.9762              | 2     |
| 0.2412     | 0.9114         | 0.0674          | 0.9877              | 3     |
| 0.1738     | 0.9385         | 0.0592          | 0.9877              | 4     |
| 0.1661     | 0.9405         | 0.0592          | 0.9877              | 5     |
| 0.1646     | 0.9395         | 0.0590          | 0.9877              | 6     |
| 0.1698     | 0.9359         | 0.0592          | 0.9877              | 7     |


### Framework versions

- Transformers 4.44.2
- TensorFlow 2.17.0
- Datasets 3.0.2
- Tokenizers 0.19.1