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license: mit
base_model: xlm-roberta-base
tags:
- generated_from_keras_callback
model-index:
- name: khadija69/roberta_ASE_kgl
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_kgl
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.1987
- Validation Loss: 0.3653
- Epoch: 9
## 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': 1000, '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 |
|:----------:|:---------------:|:-----:|
| 0.4777 | 0.3498 | 0 |
| 0.3292 | 0.3403 | 1 |
| 0.3056 | 0.3305 | 2 |
| 0.2796 | 0.3372 | 3 |
| 0.2624 | 0.3323 | 4 |
| 0.2468 | 0.3416 | 5 |
| 0.2277 | 0.3364 | 6 |
| 0.2141 | 0.3557 | 7 |
| 0.2057 | 0.3576 | 8 |
| 0.1987 | 0.3653 | 9 |
### Framework versions
- Transformers 4.39.3
- TensorFlow 2.15.0
- Datasets 2.18.0
- Tokenizers 0.15.2
|