---
license: mit
tags:
- generated_from_keras_callback
base_model: microsoft/xtremedistil-l6-h256-uncased
model-index:
- name: topic_classification_04
  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. -->

# topic_classification_04

This model is a fine-tuned version of [microsoft/xtremedistil-l6-h256-uncased](https://huggingface.co/microsoft/xtremedistil-l6-h256-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.8325
- Train Sparse Categorical Accuracy: 0.7237
- 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', 'learning_rate': 5e-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 Sparse Categorical Accuracy | Epoch |
|:----------:|:---------------------------------:|:-----:|
| 1.0735     | 0.6503                            | 0     |
| 0.9742     | 0.6799                            | 1     |
| 0.9424     | 0.6900                            | 2     |
| 0.9199     | 0.6970                            | 3     |
| 0.9016     | 0.7026                            | 4     |
| 0.8853     | 0.7073                            | 5     |
| 0.8707     | 0.7120                            | 6     |
| 0.8578     | 0.7160                            | 7     |
| 0.8448     | 0.7199                            | 8     |
| 0.8325     | 0.7237                            | 9     |


### Framework versions

- Transformers 4.20.1
- TensorFlow 2.9.1
- Datasets 2.3.2
- Tokenizers 0.12.1