
<!-- 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. -->

# distilbert-base-cased-finetuned-concept-classification-title-abstract

This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 2.8398
- Validation Loss: 3.2378
- Train Accuracy: 0.4618
- 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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 167960, '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 |
|:----------:|:---------------:|:--------------:|:-----:|
| 5.1779     | 3.9338          | 0.3457         | 0     |
| 3.8441     | 3.5523          | 0.4044         | 1     |
| 3.5070     | 3.4169          | 0.4267         | 2     |
| 3.3152     | 3.3286          | 0.4402         | 3     |
| 3.1797     | 3.2789          | 0.4488         | 4     |
| 3.0756     | 3.2612          | 0.4537         | 5     |
| 2.9929     | 3.2459          | 0.4575         | 6     |
| 2.9266     | 3.2380          | 0.4598         | 7     |
| 2.8758     | 3.2390          | 0.4611         | 8     |
| 2.8398     | 3.2378          | 0.4618         | 9     |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.13.0
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert-base-cased", "model-index": [{"name": "distilbert-base-cased-finetuned-concept-classification-title-abstract", "results": []}]}
transformers tf distilbert text-classification generated_from_keras_callback base_model:distilbert-base-cased license:apache-2.0 autotrain_compatible endpoints_compatible region:us