---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: sevvalkapcak/newModel2
  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. -->

# sevvalkapcak/newModel2

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: 0.0118
- Validation Loss: 0.5461
- Train Accuracy: 0.921
- Epoch: 51

## 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': 5e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Train Accuracy | Epoch |
|:----------:|:---------------:|:--------------:|:-----:|
| 0.2465     | 0.2029          | 0.9085         | 0     |
| 0.1354     | 0.1302          | 0.939          | 1     |
| 0.1121     | 0.1588          | 0.934          | 2     |
| 0.0945     | 0.1551          | 0.937          | 3     |
| 0.0815     | 0.1696          | 0.939          | 4     |
| 0.0778     | 0.1647          | 0.932          | 5     |
| 0.0522     | 0.2356          | 0.931          | 6     |
| 0.0444     | 0.2861          | 0.9335         | 7     |
| 0.0329     | 0.2144          | 0.9355         | 8     |
| 0.0290     | 0.2548          | 0.935          | 9     |
| 0.0222     | 0.2866          | 0.93           | 10    |
| 0.0256     | 0.2787          | 0.9385         | 11    |
| 0.0267     | 0.2764          | 0.941          | 12    |
| 0.0201     | 0.2888          | 0.9315         | 13    |
| 0.0221     | 0.2737          | 0.934          | 14    |
| 0.0174     | 0.4403          | 0.93           | 15    |
| 0.0170     | 0.2836          | 0.932          | 16    |
| 0.0214     | 0.3033          | 0.9375         | 17    |
| 0.0125     | 0.3894          | 0.934          | 18    |
| 0.0271     | 0.3687          | 0.9305         | 19    |
| 0.0154     | 0.3817          | 0.9305         | 20    |
| 0.0149     | 0.4736          | 0.93           | 21    |
| 0.0196     | 0.4435          | 0.9325         | 22    |
| 0.0124     | 0.4873          | 0.929          | 23    |
| 0.0157     | 0.4008          | 0.932          | 24    |
| 0.0153     | 0.4074          | 0.931          | 25    |
| 0.0176     | 0.3996          | 0.9295         | 26    |
| 0.0160     | 0.3652          | 0.9355         | 27    |
| 0.0081     | 0.4446          | 0.934          | 28    |
| 0.0098     | 0.5249          | 0.934          | 29    |
| 0.0151     | 0.4112          | 0.937          | 30    |
| 0.0124     | 0.4888          | 0.929          | 31    |
| 0.0146     | 0.5022          | 0.9325         | 32    |
| 0.0130     | 0.5585          | 0.9305         | 33    |
| 0.0102     | 0.4304          | 0.935          | 34    |
| 0.0158     | 0.4239          | 0.933          | 35    |
| 0.0156     | 0.4849          | 0.93           | 36    |
| 0.0153     | 0.5097          | 0.9245         | 37    |
| 0.0135     | 0.4689          | 0.934          | 38    |
| 0.0178     | 0.4578          | 0.9285         | 39    |
| 0.0124     | 0.4083          | 0.9275         | 40    |
| 0.0106     | 0.4946          | 0.926          | 41    |
| 0.0098     | 0.4908          | 0.927          | 42    |
| 0.0131     | 0.5604          | 0.928          | 43    |
| 0.0143     | 0.4226          | 0.9315         | 44    |
| 0.0105     | 0.5664          | 0.9245         | 45    |
| 0.0189     | 0.5121          | 0.925          | 46    |
| 0.0148     | 0.5259          | 0.9245         | 47    |
| 0.0090     | 0.4567          | 0.9295         | 48    |
| 0.0156     | 0.4633          | 0.926          | 49    |
| 0.0128     | 0.5222          | 0.9295         | 50    |
| 0.0118     | 0.5461          | 0.921          | 51    |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.16.1
- Tokenizers 0.15.1