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---
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
|