---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: cruiser/bert_model_kaggle
  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. -->

# cruiser/bert_model_kaggle

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: 1.0986
- Train Accuracy: 0.3554
- Validation Loss: 1.0986
- Validation Accuracy: 0.3814
- Epoch: 4

## 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', 'learning_rate': 1e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 1.1128     | 0.3360         | 1.0986          | 0.3356              | 0     |
| 1.0990     | 0.3370         | 1.0986          | 0.3823              | 1     |
| 1.0996     | 0.3631         | 1.0986          | 0.3814              | 2     |
| 1.0986     | 0.3556         | 1.0986          | 0.3814              | 3     |
| 1.0986     | 0.3554         | 1.0986          | 0.3814              | 4     |


### Framework versions

- Transformers 4.20.1
- TensorFlow 2.6.4
- Datasets 2.1.0
- Tokenizers 0.12.1