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# ayshi/basic_distil

This model is a fine-tuned version of [ayshi/basic_distil](https://huggingface.co/ayshi/basic_distil) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0114
- Validation Loss: 1.0035
- Train Accuracy: 0.7911
- Epoch: 19

## 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': 640, '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 |
|:----------:|:---------------:|:--------------:|:-----:|
| 0.3282     | 0.7966          | 0.7644         | 0     |
| 0.2163     | 0.8219          | 0.7778         | 1     |
| 0.1323     | 0.8099          | 0.7778         | 2     |
| 0.0933     | 0.8337          | 0.7956         | 3     |
| 0.0619     | 0.9082          | 0.7689         | 4     |
| 0.0461     | 0.9380          | 0.7778         | 5     |
| 0.0495     | 0.9502          | 0.7556         | 6     |
| 0.0301     | 0.9445          | 0.7733         | 7     |
| 0.0249     | 0.9578          | 0.8            | 8     |
| 0.0209     | 0.9663          | 0.7911         | 9     |
| 0.0200     | 0.9828          | 0.7778         | 10    |
| 0.0159     | 0.9987          | 0.7689         | 11    |
| 0.0163     | 1.0120          | 0.7689         | 12    |
| 0.0142     | 1.0020          | 0.7956         | 13    |
| 0.0153     | 1.0270          | 0.7911         | 14    |
| 0.0142     | 1.0159          | 0.7822         | 15    |
| 0.0130     | 1.0049          | 0.7911         | 16    |
| 0.0129     | 1.0085          | 0.7956         | 17    |
| 0.0099     | 1.0033          | 0.7911         | 18    |
| 0.0114     | 1.0035          | 0.7911         | 19    |


### Framework versions

- Transformers 4.34.0
- TensorFlow 2.13.0
- Datasets 2.14.5
- Tokenizers 0.14.1

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