---
license: mit
base_model: khadija69/debertav3_ASE_BIES_layers
tags:
- generated_from_keras_callback
model-index:
- name: khadija69/debertav3_ASE_BIES_layers_2
  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_BIES_layers_2

This model is a fine-tuned version of [khadija69/debertav3_ASE_BIES_layers](https://huggingface.co/khadija69/debertav3_ASE_BIES_layers) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.5792
- Train Accuracy: 0.4660
- Validation Loss: 0.7023
- Validation Accuracy: 0.4345
- Epoch: 8

## 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': 'transformers.optimization_tf', 'class_name': 'WarmUp', 'config': {'initial_learning_rate': 1e-05, 'decay_schedule_fn': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 700, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'warmup_steps': 500, 'power': 1.0, 'name': None}, 'registered_name': 'WarmUp'}, '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 |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 0.7123     | 0.4460         | 0.7169          | 0.4314              | 0     |
| 0.6868     | 0.4471         | 0.7123          | 0.4318              | 1     |
| 0.6678     | 0.4575         | 0.7254          | 0.4317              | 2     |
| 0.6256     | 0.4637         | 0.7084          | 0.4344              | 3     |
| 0.5995     | 0.4694         | 0.7210          | 0.4309              | 4     |
| 0.5869     | 0.4694         | 0.7023          | 0.4345              | 5     |
| 0.5860     | 0.4699         | 0.7023          | 0.4345              | 6     |
| 0.5825     | 0.4711         | 0.7023          | 0.4345              | 7     |
| 0.5792     | 0.4660         | 0.7023          | 0.4345              | 8     |


### Framework versions

- Transformers 4.41.2
- TensorFlow 2.15.0
- Datasets 2.19.2
- Tokenizers 0.19.1