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--- |
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license: mit |
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base_model: FacebookAI/roberta-base |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: kasrahabib/roberta-base-finetuned-iso29148-f_nf_req-cls |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# kasrahabib/roberta-base-finetuned-iso29148-f_nf_req-cls |
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This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.0019 |
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- Validation Loss: 0.6444 |
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- Epoch: 29 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- 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} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Validation Loss | Epoch | |
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|:----------:|:---------------:|:-----:| |
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| 0.4775 | 0.3493 | 0 | |
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| 0.2723 | 0.3205 | 1 | |
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| 0.1702 | 0.3163 | 2 | |
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| 0.0925 | 0.3759 | 3 | |
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| 0.0803 | 0.4358 | 4 | |
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| 0.0444 | 0.5255 | 5 | |
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| 0.0227 | 0.5733 | 6 | |
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| 0.0342 | 0.5173 | 7 | |
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| 0.0231 | 0.5098 | 8 | |
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| 0.0144 | 0.5852 | 9 | |
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| 0.0067 | 0.6479 | 10 | |
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| 0.0039 | 0.7709 | 11 | |
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| 0.0222 | 0.5779 | 12 | |
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| 0.0144 | 0.6940 | 13 | |
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| 0.0213 | 0.5848 | 14 | |
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| 0.0047 | 0.6554 | 15 | |
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| 0.0036 | 0.6801 | 16 | |
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| 0.0011 | 0.7073 | 17 | |
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| 0.0082 | 0.7724 | 18 | |
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| 0.0084 | 0.6025 | 19 | |
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| 0.0009 | 0.6345 | 20 | |
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| 0.0034 | 0.6718 | 21 | |
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| 0.0032 | 0.6396 | 22 | |
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| 0.0030 | 0.6050 | 23 | |
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| 0.0005 | 0.6186 | 24 | |
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| 0.0006 | 0.6282 | 25 | |
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| 0.0005 | 0.6337 | 26 | |
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| 0.0004 | 0.6417 | 27 | |
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| 0.0003 | 0.6447 | 28 | |
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| 0.0019 | 0.6444 | 29 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- TensorFlow 2.15.0 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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