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---
library_name: transformers
license: mit
base_model: Labira/LabiraPJOK_2_100_Full
tags:
- generated_from_keras_callback
model-index:
- name: Labira/LabiraPJOK_3_100_Full
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. -->
# Labira/LabiraPJOK_3_100_Full
This model is a fine-tuned version of [Labira/LabiraPJOK_2_100_Full](https://huggingface.co/Labira/LabiraPJOK_2_100_Full) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0072
- Validation Loss: 0.0012
- Epoch: 26
## 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': 1100, '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 | Epoch |
|:----------:|:---------------:|:-----:|
| 2.7614 | 1.1522 | 0 |
| 1.5531 | 0.5524 | 1 |
| 1.0482 | 0.2232 | 2 |
| 0.5443 | 0.0847 | 3 |
| 0.5227 | 0.0529 | 4 |
| 0.2873 | 0.0412 | 5 |
| 0.2568 | 0.0330 | 6 |
| 0.1310 | 0.0190 | 7 |
| 0.1108 | 0.0067 | 8 |
| 0.1252 | 0.0117 | 9 |
| 0.0740 | 0.0071 | 10 |
| 0.0507 | 0.0059 | 11 |
| 0.0790 | 0.0058 | 12 |
| 0.0282 | 0.0036 | 13 |
| 0.0562 | 0.0070 | 14 |
| 0.0850 | 0.0047 | 15 |
| 0.0715 | 0.0176 | 16 |
| 0.0724 | 0.0077 | 17 |
| 0.0361 | 0.0024 | 18 |
| 0.0266 | 0.0029 | 19 |
| 0.0207 | 0.0026 | 20 |
| 0.0158 | 0.0023 | 21 |
| 0.0086 | 0.0016 | 22 |
| 0.0214 | 0.0093 | 23 |
| 0.0327 | 0.0063 | 24 |
| 0.0102 | 0.0016 | 25 |
| 0.0072 | 0.0012 | 26 |
### Framework versions
- Transformers 4.46.2
- TensorFlow 2.17.0
- Datasets 3.1.0
- Tokenizers 0.20.3
|