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---
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
|