---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: ratish/DBERT_Fault_LR_v2
  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. -->

# ratish/DBERT_Fault_LR_v2

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: 0.4241
- Validation Loss: 0.5145
- Train Accuracy: 0.7692
- Epoch: 14

## 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-06, 'decay_steps': 2128, '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 |
|:----------:|:---------------:|:--------------:|:-----:|
| 0.6872     | 0.6932          | 0.5128         | 0     |
| 0.6761     | 0.6965          | 0.5128         | 1     |
| 0.6638     | 0.7020          | 0.5128         | 2     |
| 0.6590     | 0.7093          | 0.5128         | 3     |
| 0.6532     | 0.7112          | 0.5128         | 4     |
| 0.6469     | 0.7067          | 0.5128         | 5     |
| 0.6359     | 0.7101          | 0.5128         | 6     |
| 0.6236     | 0.7103          | 0.5128         | 7     |
| 0.6120     | 0.6865          | 0.5641         | 8     |
| 0.5913     | 0.6576          | 0.5641         | 9     |
| 0.5618     | 0.6206          | 0.5897         | 10    |
| 0.5286     | 0.5765          | 0.5897         | 11    |
| 0.4931     | 0.5502          | 0.6667         | 12    |
| 0.4574     | 0.5154          | 0.7692         | 13    |
| 0.4241     | 0.5145          | 0.7692         | 14    |


### Framework versions

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