---
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: PlasmicZ/SIH3
  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. -->

# PlasmicZ/SIH3

This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 3.1868
- Validation Loss: 3.1679
- Train Accuracy: 0.6194
- 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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 450, '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 | Validation Loss | Train Accuracy | Epoch |
|:----------:|:---------------:|:--------------:|:-----:|
| 3.6966     | 3.6944          | 0.0139         | 0     |
| 3.6920     | 3.6912          | 0.0278         | 1     |
| 3.6463     | 3.5387          | 0.3056         | 2     |
| 3.4074     | 3.2592          | 0.5667         | 3     |
| 3.2234     | 3.1679          | 0.6194         | 4     |
| 3.1902     | 3.1679          | 0.6194         | 5     |
| 3.1887     | 3.1679          | 0.6194         | 6     |
| 3.1907     | 3.1679          | 0.6194         | 7     |
| 3.1893     | 3.1679          | 0.6194         | 8     |
| 3.1843     | 3.1679          | 0.6194         | 9     |
| 3.1894     | 3.1679          | 0.6194         | 10    |
| 3.1893     | 3.1679          | 0.6194         | 11    |
| 3.1881     | 3.1679          | 0.6194         | 12    |
| 3.1935     | 3.1679          | 0.6194         | 13    |
| 3.1868     | 3.1679          | 0.6194         | 14    |


### Framework versions

- Transformers 4.42.4
- TensorFlow 2.17.0
- Datasets 2.21.0
- Tokenizers 0.19.1