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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-promise-km-labels-all-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-promise-km-labels-all-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: 0.0093 |
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- Validation Loss: 0.1119 |
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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': 2370, '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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| 2.2048 | 1.6598 | 0 | |
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| 1.1216 | 0.5631 | 1 | |
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| 0.3896 | 0.2574 | 2 | |
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| 0.1978 | 0.1997 | 3 | |
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| 0.1204 | 0.1526 | 4 | |
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| 0.0676 | 0.1887 | 5 | |
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| 0.0435 | 0.1289 | 6 | |
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| 0.0338 | 0.1219 | 7 | |
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| 0.0291 | 0.1140 | 8 | |
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| 0.0372 | 0.1829 | 9 | |
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| 0.0655 | 0.2036 | 10 | |
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| 0.0654 | 0.3368 | 11 | |
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| 0.1950 | 0.3786 | 12 | |
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| 0.0544 | 0.1708 | 13 | |
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| 0.0195 | 0.1446 | 14 | |
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| 0.0166 | 0.1364 | 15 | |
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| 0.0154 | 0.1302 | 16 | |
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| 0.0136 | 0.1272 | 17 | |
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| 0.0127 | 0.1251 | 18 | |
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| 0.0119 | 0.1248 | 19 | |
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| 0.0115 | 0.1231 | 20 | |
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| 0.0112 | 0.1214 | 21 | |
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| 0.0107 | 0.1190 | 22 | |
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| 0.0104 | 0.1166 | 23 | |
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| 0.0100 | 0.1157 | 24 | |
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| 0.0095 | 0.1131 | 25 | |
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| 0.0096 | 0.1126 | 26 | |
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| 0.0092 | 0.1120 | 27 | |
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| 0.0094 | 0.1119 | 28 | |
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| 0.0093 | 0.1119 | 29 | |
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### Framework versions |
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- Transformers 4.42.3 |
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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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