---
license: mit
base_model: microsoft/mdeberta-v3-base
tags:
- generated_from_keras_callback
model-index:
- name: khadija69/debertav3_ASE_kgl_BIES1
  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_kgl_BIES1

This model is a fine-tuned version of [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: nan
- Train Accuracy: 0.0743
- Validation Loss: nan
- Validation Accuracy: 0.0721
- Epoch: 4

## 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': 1e-05, 'decay_steps': 4000, '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 |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| nan        | 0.0747         | nan             | 0.0721              | 0     |
| nan        | 0.0752         | nan             | 0.0721              | 1     |
| nan        | 0.0740         | nan             | 0.0721              | 2     |
| nan        | 0.0742         | nan             | 0.0721              | 3     |
| nan        | 0.0743         | nan             | 0.0721              | 4     |


### Framework versions

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