|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_keras_callback |
|
model-index: |
|
- name: LovenOO/distilBERT_without_preprocessing_grid_search |
|
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. --> |
|
|
|
# LovenOO/distilBERT_without_preprocessing_grid_search |
|
|
|
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: 0.3005 |
|
- Validation Loss: 0.5042 |
|
- Train Precision: 0.6594 |
|
- Train Recall: 0.6486 |
|
- Train F1: 0.6531 |
|
- Train Accuracy: 0.8610 |
|
- Epoch: 3 |
|
|
|
## 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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 5140, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_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 Precision | Train Recall | Train F1 | Train Accuracy | Epoch | |
|
|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:| |
|
| 1.2437 | 0.6349 | 0.5675 | 0.5420 | 0.5499 | 0.8343 | 0 | |
|
| 0.5456 | 0.5544 | 0.6316 | 0.6172 | 0.6214 | 0.8435 | 1 | |
|
| 0.3904 | 0.5303 | 0.6384 | 0.6191 | 0.6239 | 0.8523 | 2 | |
|
| 0.3005 | 0.5042 | 0.6594 | 0.6486 | 0.6531 | 0.8610 | 3 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.24.0 |
|
- TensorFlow 2.13.0 |
|
- Datasets 2.14.2 |
|
- Tokenizers 0.11.0 |
|
|
