---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: ratish/DBERT_MAKE_NewData_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_MAKE_NewData_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: 0.2959
- Validation Loss: 0.4909
- Train Accuracy: 0.8545
- 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-05, 'decay_steps': 360, '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 |
|:----------:|:---------------:|:--------------:|:-----:|
| 2.3353     | 1.9477          | 0.6545         | 0     |
| 1.7645     | 1.4417          | 0.6545         | 1     |
| 1.3097     | 1.1007          | 0.8364         | 2     |
| 0.9860     | 0.8667          | 0.8364         | 3     |
| 0.7850     | 0.7599          | 0.8364         | 4     |
| 0.6603     | 0.6913          | 0.8545         | 5     |
| 0.5657     | 0.6254          | 0.8545         | 6     |
| 0.5007     | 0.5763          | 0.8545         | 7     |
| 0.4480     | 0.5492          | 0.8364         | 8     |
| 0.4014     | 0.5328          | 0.8545         | 9     |
| 0.3611     | 0.5035          | 0.8364         | 10    |
| 0.3295     | 0.5296          | 0.8545         | 11    |
| 0.3177     | 0.4930          | 0.8545         | 12    |
| 0.3103     | 0.4904          | 0.8545         | 13    |
| 0.2959     | 0.4909          | 0.8545         | 14    |


### Framework versions

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