kasrahabib/all-MiniLM-L6-v2-finetuned-on-promise-nf-sub-classes-classifier
This model is a fine-tuned version of sentence-transformers/all-MiniLM-L6-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.2538
- Epoch: 19
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': 1840, '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 | Epoch |
---|---|
2.2379 | 0 |
2.0374 | 1 |
1.7129 | 2 |
1.3440 | 3 |
1.0497 | 4 |
0.8493 | 5 |
0.7201 | 6 |
0.6124 | 7 |
0.5268 | 8 |
0.4709 | 9 |
0.4191 | 10 |
0.3842 | 11 |
0.3505 | 12 |
0.3214 | 13 |
0.3017 | 14 |
0.2863 | 15 |
0.2711 | 16 |
0.2612 | 17 |
0.2564 | 18 |
0.2538 | 19 |
Framework versions
- Transformers 4.42.3
- TensorFlow 2.15.0
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for kasrahabib/all-MiniLM-L6-v2-finetuned-on-promise-nf-sub-classes-classifier
Base model
sentence-transformers/all-MiniLM-L6-v2