| | --- |
| | license: mit |
| | base_model: microsoft/mdeberta-v3-base |
| | tags: |
| | - generated_from_keras_callback |
| | model-index: |
| | - name: khadija69/debertav3_ASE_kgl_BIES |
| | 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_BIES |
| | |
| | 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: 0.0623 |
| | - Validation Loss: nan |
| | - Validation Accuracy: 0.0565 |
| | - Epoch: 0 |
| | |
| | ## 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', 'clipnorm': 0.1, 'learning_rate': 1e-04, '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 | 0.0623 | nan | 0.0565 | 0 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.41.2 |
| | - TensorFlow 2.15.0 |
| | - Datasets 2.19.2 |
| | - Tokenizers 0.19.1 |
| | |
