|
--- |
|
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 |
