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# shahiryar/tt_abstract_classifier

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.3250
- Validation Loss: 0.2366
- Train Accuracy: 1.0
- Epoch: 14

## 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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 60, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Train Accuracy | Epoch |
|:----------:|:---------------:|:--------------:|:-----:|
| 0.6879     | 0.6046          | 0.8            | 0     |
| 0.6864     | 0.5941          | 0.8            | 1     |
| 0.6530     | 0.5603          | 0.8            | 2     |
| 0.6535     | 0.5254          | 0.8            | 3     |
| 0.6182     | 0.5124          | 0.8            | 4     |
| 0.5976     | 0.4580          | 0.8            | 5     |
| 0.5627     | 0.4227          | 1.0            | 6     |
| 0.5391     | 0.3958          | 1.0            | 7     |
| 0.4780     | 0.3574          | 1.0            | 8     |
| 0.4495     | 0.3283          | 1.0            | 9     |
| 0.4151     | 0.3011          | 1.0            | 10    |
| 0.3642     | 0.2751          | 1.0            | 11    |
| 0.3626     | 0.2500          | 1.0            | 12    |
| 0.3416     | 0.2404          | 1.0            | 13    |
| 0.3250     | 0.2366          | 1.0            | 14    |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.17.0
- Tokenizers 0.15.2

{"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "shahiryar/tt_abstract_classifier", "results": []}]}
transformers tf distilbert text-classification generated_from_keras_callback base_model:distilbert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us