---
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