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---
license: mit
base_model: FacebookAI/roberta-base
tags:
- generated_from_keras_callback
model-index:
- name: kasrahabib/roberta-base-finetuned-iso29148-f_nf_req-cls
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. -->
# kasrahabib/roberta-base-finetuned-iso29148-f_nf_req-cls
This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0019
- Validation Loss: 0.6444
- Epoch: 29
## 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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 4710, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32
### Training results
| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 0.4775 | 0.3493 | 0 |
| 0.2723 | 0.3205 | 1 |
| 0.1702 | 0.3163 | 2 |
| 0.0925 | 0.3759 | 3 |
| 0.0803 | 0.4358 | 4 |
| 0.0444 | 0.5255 | 5 |
| 0.0227 | 0.5733 | 6 |
| 0.0342 | 0.5173 | 7 |
| 0.0231 | 0.5098 | 8 |
| 0.0144 | 0.5852 | 9 |
| 0.0067 | 0.6479 | 10 |
| 0.0039 | 0.7709 | 11 |
| 0.0222 | 0.5779 | 12 |
| 0.0144 | 0.6940 | 13 |
| 0.0213 | 0.5848 | 14 |
| 0.0047 | 0.6554 | 15 |
| 0.0036 | 0.6801 | 16 |
| 0.0011 | 0.7073 | 17 |
| 0.0082 | 0.7724 | 18 |
| 0.0084 | 0.6025 | 19 |
| 0.0009 | 0.6345 | 20 |
| 0.0034 | 0.6718 | 21 |
| 0.0032 | 0.6396 | 22 |
| 0.0030 | 0.6050 | 23 |
| 0.0005 | 0.6186 | 24 |
| 0.0006 | 0.6282 | 25 |
| 0.0005 | 0.6337 | 26 |
| 0.0004 | 0.6417 | 27 |
| 0.0003 | 0.6447 | 28 |
| 0.0019 | 0.6444 | 29 |
### Framework versions
- Transformers 4.40.1
- TensorFlow 2.15.0
- Datasets 2.19.1
- Tokenizers 0.19.1
|