kasrahabib/roberta-base-finetuned-iso29148-km_propogated_f_nf_promise_benchmark_label_req
This model is a fine-tuned version of FacebookAI/roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0009
- Validation Loss: 0.0243
- Epoch: 14
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': 510, '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 |
---|---|---|
0.3626 | 0.1127 | 0 |
0.1016 | 0.0931 | 1 |
0.0398 | 0.0386 | 2 |
0.0228 | 0.0968 | 3 |
0.0575 | 0.0328 | 4 |
0.0111 | 0.0261 | 5 |
0.0050 | 0.0173 | 6 |
0.0020 | 0.0257 | 7 |
0.0013 | 0.0244 | 8 |
0.0012 | 0.0225 | 9 |
0.0009 | 0.0233 | 10 |
0.0009 | 0.0241 | 11 |
0.0008 | 0.0244 | 12 |
0.0008 | 0.0246 | 13 |
0.0009 | 0.0243 | 14 |
Framework versions
- Transformers 4.40.1
- TensorFlow 2.15.0
- Datasets 2.19.1
- Tokenizers 0.19.1
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