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license: mit
base_model: khadija69/mdeberta_ASE_kgl_layered_HAndT
tags:
- generated_from_keras_callback
model-index:
- name: khadija69/debertav3_ASE_clb_ACCURACY
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. -->
# khadija69/debertav3_ASE_clb_ACCURACY
This model is a fine-tuned version of [khadija69/mdeberta_ASE_kgl_layered_HAndT](https://huggingface.co/khadija69/mdeberta_ASE_kgl_layered_HAndT) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.1659
- Train Accuracy: 0.6823
- Validation Loss: 0.2716
- Validation Accuracy: 0.6579
- Epoch: 5
## 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': 2e-05, 'decay_steps': 2400, '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 | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 0.2746 | 0.6594 | 0.2608 | 0.6587 | 0 |
| 0.2321 | 0.6598 | 0.2584 | 0.6612 | 1 |
| 0.2117 | 0.6672 | 0.2813 | 0.6469 | 2 |
| 0.1953 | 0.6742 | 0.2601 | 0.6633 | 3 |
| 0.1831 | 0.6855 | 0.2680 | 0.6596 | 4 |
| 0.1659 | 0.6823 | 0.2716 | 0.6579 | 5 |
### Framework versions
- Transformers 4.41.2
- TensorFlow 2.15.0
- Datasets 2.19.2
- Tokenizers 0.19.1
|