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license: mit
base_model: khadija69/roberta_ASE_kgl_large
tags:
- generated_from_keras_callback
model-index:
- name: khadija69/roberta_ASE_clb_large_layers_tail
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/roberta_ASE_clb_large_layers_tail
This model is a fine-tuned version of [khadija69/roberta_ASE_kgl_large](https://huggingface.co/khadija69/roberta_ASE_kgl_large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0908
- Validation Loss: 0.2620
- Epoch: 5
## 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': 2e-05, 'decay_steps': 2400, '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 | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 0.2264 | 0.2217 | 0 |
| 0.1986 | 0.2090 | 1 |
| 0.1626 | 0.2112 | 2 |
| 0.1300 | 0.2299 | 3 |
| 0.1089 | 0.2454 | 4 |
| 0.0908 | 0.2620 | 5 |
### Framework versions
- Transformers 4.41.1
- TensorFlow 2.15.0
- Datasets 2.19.1
- Tokenizers 0.19.1
|