---
license: apache-2.0
base_model: google/electra-small-discriminator
tags:
- generated_from_keras_callback
model-index:
- name: textmining_proj02_electra
  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. -->

# textmining_proj02_electra

This model is a fine-tuned version of [google/electra-small-discriminator](https://huggingface.co/google/electra-small-discriminator) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 2.0145
- Train End Logits Accuracy: 0.5186
- Train Start Logits Accuracy: 0.4898
- Validation Loss: 1.7837
- Validation End Logits Accuracy: 0.5643
- Validation Start Logits Accuracy: 0.5514
- Epoch: 10
- {'name': 'textmining_proj02_electra',
  'lnr': 2e-05,
  'epoch': 10,
  'batch_size': 32,
  'time': 14419.3888988494,
  'accuracy': 0.4546079779917469,
  'f1_score': 0.582647682404047}

## 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': 15630, '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 | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch |
|:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
| 3.5498     | 0.2455                    | 0.2154                      | 2.7762          | 0.3625                         | 0.3353                           | 0     |
| 2.7913     | 0.3657                    | 0.3291                      | 2.5014          | 0.4105                         | 0.3950                           | 1     |
| 2.5710     | 0.4032                    | 0.3725                      | 2.2847          | 0.4635                         | 0.4409                           | 2     |
| 2.4125     | 0.4377                    | 0.4076                      | 2.1311          | 0.4904                         | 0.4761                           | 3     |
| 2.2918     | 0.4641                    | 0.4348                      | 2.0155          | 0.5161                         | 0.5063                           | 4     |
| 2.1978     | 0.4833                    | 0.4512                      | 1.9319          | 0.5343                         | 0.5214                           | 5     |
| 2.1306     | 0.4960                    | 0.4664                      | 1.8634          | 0.5505                         | 0.5352                           | 6     |
| 2.0801     | 0.5018                    | 0.4755                      | 1.8229          | 0.5568                         | 0.5457                           | 7     |
| 2.0404     | 0.5139                    | 0.4837                      | 1.7963          | 0.5611                         | 0.5488                           | 8     |
| 2.0145     | 0.5186                    | 0.4898                      | 1.7837          | 0.5643                         | 0.5514                           | 9     |


### Framework versions

- Transformers 4.39.3
- TensorFlow 2.15.0
- Datasets 2.18.0
- Tokenizers 0.15.2