---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: TamerAbdelaziz/distilbert-base-uncased-finetuned-IMDB_BERT_10
  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. -->

# TamerAbdelaziz/distilbert-base-uncased-finetuned-IMDB_BERT_10

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: 0.0088
- Validation Loss: 0.3347
- Train Accuracy: 0.9338
- Epoch: 8

## 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': 12500, '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 | Validation Loss | Train Accuracy | Epoch |
|:----------:|:---------------:|:--------------:|:-----:|
| 0.2338     | 0.1838          | 0.9304         | 0     |
| 0.1379     | 0.1821          | 0.931          | 1     |
| 0.0748     | 0.1896          | 0.9334         | 2     |
| 0.0427     | 0.2671          | 0.9318         | 3     |
| 0.0260     | 0.2814          | 0.933          | 4     |
| 0.0198     | 0.3015          | 0.9338         | 5     |
| 0.0134     | 0.3239          | 0.9342         | 6     |
| 0.0104     | 0.3797          | 0.9268         | 7     |
| 0.0088     | 0.3347          | 0.9338         | 8     |


### Framework versions

- Transformers 4.33.2
- TensorFlow 2.8.1
- Datasets 2.14.5
- Tokenizers 0.13.3