---
license: apache-2.0
tags:
- generated_from_keras_callback
base_model: bert-base-uncased
model-index:
- name: tmp9eavpdw4
  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. -->

# tmp9eavpdw4

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: 0.1333
- Train Accuracy: 0.9487
- Validation Loss: 0.7282
- Validation Accuracy: 0.7929
- Epoch: 1

## 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', 'clipnorm': 1.0, 'learning_rate': 3e-05, 'decay': 0.0, '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 |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 0.3768     | 0.8296         | 0.4746          | 0.8159              | 0     |
| 0.1333     | 0.9487         | 0.7282          | 0.7929              | 1     |


### Framework versions

- Transformers 4.17.0
- TensorFlow 2.8.0
- Tokenizers 0.11.6