| | --- |
| | 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 |
| | |
