---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: vedantjumle/manasi
  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. -->

# vedantjumle/manasi

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.9757
- Train Accuracy: 0.7839
- Epoch: 18

## 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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 480, '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 |
|:----------:|:--------------:|:-----:|
| 2.7486     | 0.4271         | 0     |
| 2.2633     | 0.4297         | 1     |
| 2.1244     | 0.4284         | 2     |
| 2.0740     | 0.4258         | 3     |
| 2.0444     | 0.4323         | 4     |
| 2.0005     | 0.4922         | 5     |
| 1.9095     | 0.5169         | 6     |
| 1.7609     | 0.5924         | 7     |
| 1.6275     | 0.6484         | 8     |
| 1.4806     | 0.6706         | 9     |
| 1.3658     | 0.7005         | 10    |
| 1.2600     | 0.7409         | 11    |
| 1.1962     | 0.7487         | 12    |
| 1.1222     | 0.7487         | 13    |
| 1.0866     | 0.7721         | 14    |
| 1.0440     | 0.7786         | 15    |
| 1.0203     | 0.7839         | 16    |
| 1.0053     | 0.7852         | 17    |
| 0.9757     | 0.7839         | 18    |


### Framework versions

- Transformers 4.34.0
- TensorFlow 2.13.0
- Datasets 2.14.5
- Tokenizers 0.14.1