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# 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

{"license": "mit", "tags": ["generated_from_keras_callback"], "base_model": "microsoft/xtremedistil-l6-h256-uncased", "model-index": [{"name": "topic_classification_04", "results": []}]}
transformers tf bert text-classification generated_from_keras_callback base_model:microsoft/xtremedistil-l6-h256-uncased license:mit autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #tf #bert #text-classification #generated_from_keras_callback #base_model-microsoft/xtremedistil-l6-h256-uncased #license-mit #autotrain_compatible #endpoints_compatible #has_space #region-us 

topic\_classification\_04
=========================


This model is a fine-tuned version of 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



### Framework versions


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



### 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 ### Framework versions


* Transformers 4.20.1
* TensorFlow 2.9.1
* Datasets 2.3.2
* Tokenizers 0.12.1
TAGS
#transformers #tf #bert #text-classification #generated_from_keras_callback #base_model-microsoft/xtremedistil-l6-h256-uncased #license-mit #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### 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 ### Framework versions


* Transformers 4.20.1
* TensorFlow 2.9.1
* Datasets 2.3.2
* Tokenizers 0.12.1
TAGS
#transformers #tf #bert #text-classification #generated_from_keras_callback #base_model-microsoft/xtremedistil-l6-h256-uncased #license-mit #autotrain_compatible #endpoints_compatible #has_space #region-us 
### 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### Framework versions


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