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---
license: apache-2.0
base_model: anum231/class2_v1
tags:
- generated_from_keras_callback
model-index:
- name: anum231/class2_v1
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. -->
# anum231/class2_v1
This model is a fine-tuned version of [anum231/class2_v1](https://huggingface.co/anum231/class2_v1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.4768
- Validation Loss: 0.3740
- Train Accuracy: 0.8966
- Epoch: 9
## 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': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 1160, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
### Training results
| Train Loss | Validation Loss | Train Accuracy | Epoch |
|:----------:|:---------------:|:--------------:|:-----:|
| 0.9471 | 0.7465 | 0.4828 | 0 |
| 0.7152 | 0.6636 | 0.5862 | 1 |
| 0.6634 | 0.6322 | 0.6207 | 2 |
| 0.6447 | 0.5829 | 0.6897 | 3 |
| 0.6256 | 0.5359 | 0.7586 | 4 |
| 0.6044 | 0.4895 | 0.8621 | 5 |
| 0.5432 | 0.4623 | 0.8966 | 6 |
| 0.5232 | 0.4666 | 0.8621 | 7 |
| 0.5435 | 0.4061 | 0.8966 | 8 |
| 0.4768 | 0.3740 | 0.8966 | 9 |
### Framework versions
- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.16.1
- Tokenizers 0.15.1
|