File size: 2,657 Bytes
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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
|