---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_keras_callback
- classification
- nlp
model-index:
- name: Alireza01/text_classification3
  results: []
language:
- fa
- en
metrics:
- accuracy
pipeline_tag: text-classification
---

<!-- 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. -->

# Alireza01/text_classification3

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: 0.2767
- Train Accuracy: 0.9548
- 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': False, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 31380, '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 Accuracy | Epoch |
|:----------:|:--------------:|:-----:|
| 1.2335     | 0.5798         | 0     |
| 1.1317     | 0.5769         | 1     |
| 1.0821     | 0.6010         | 2     |
| 1.0341     | 0.6154         | 3     |
| 0.9771     | 0.6365         | 4     |
| 0.8846     | 0.7192         | 5     |
| 0.7647     | 0.75           | 6     |
| 0.6556     | 0.7971         | 7     |
| 0.5725     | 0.8865         | 8     |
| 0.4555     | 0.9365         | 9     |
| 0.3683     | 0.9423         | 10    |
| 0.2767     | 0.9548         | 11    |


### Framework versions

- Transformers 4.34.0
- TensorFlow 2.14.0
- Datasets 2.14.5
- Tokenizers 0.14.1