---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: andreiliphdpr/distilbert-base-uncased-finetuned-cola
  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. -->

# andreiliphdpr/distilbert-base-uncased-finetuned-cola

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: 0.0015
- Train Accuracy: 0.9995
- Validation Loss: 0.0570
- Validation Accuracy: 0.9915
- Epoch: 4

## 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 43750, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 0.0399     | 0.9870         | 0.0281          | 0.9908              | 0     |
| 0.0182     | 0.9944         | 0.0326          | 0.9901              | 1     |
| 0.0089     | 0.9971         | 0.0396          | 0.9912              | 2     |
| 0.0040     | 0.9987         | 0.0486          | 0.9918              | 3     |
| 0.0015     | 0.9995         | 0.0570          | 0.9915              | 4     |


### Framework versions

- Transformers 4.15.0.dev0
- TensorFlow 2.6.2
- Datasets 1.15.1
- Tokenizers 0.10.3