---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: gor1/my_awesome_model_A1
  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. -->

# gor1/my_awesome_model_A1

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: 0.2153
- Validation Loss: 0.1843
- Train Accuracy: 1.0
- Epoch: 11

## 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 80, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, '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 |
|:----------:|:---------------:|:--------------:|:-----:|
| 0.6745     | 0.6418          | 0.6692         | 0     |
| 0.6265     | 0.6085          | 0.6692         | 1     |
| 0.6114     | 0.5811          | 0.6692         | 2     |
| 0.5707     | 0.5465          | 0.6692         | 3     |
| 0.5432     | 0.5032          | 0.6692         | 4     |
| 0.4996     | 0.4534          | 0.6923         | 5     |
| 0.4458     | 0.4010          | 0.8308         | 6     |
| 0.3902     | 0.3462          | 0.8538         | 7     |
| 0.3359     | 0.2963          | 0.9077         | 8     |
| 0.3111     | 0.2598          | 0.9615         | 9     |
| 0.2633     | 0.2147          | 0.9846         | 10    |
| 0.2153     | 0.1843          | 1.0            | 11    |


### Framework versions

- Transformers 4.28.1
- TensorFlow 2.12.0
- Datasets 2.11.0
- Tokenizers 0.13.3