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--- |
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license: apache-2.0 |
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base_model: sentence-transformers/all-MiniLM-L6-v2 |
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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/all-MiniLM-L6-v2-finetuned-iso29148-nf_sub_req-embdr |
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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/all-MiniLM-L6-v2-finetuned-iso29148-nf_sub_req-embdr |
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This model is a fine-tuned version of [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 2.1511 |
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- Validation Loss: 2.3317 |
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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': 270, '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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| 2.7091 | 2.7071 | 0 | |
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| 2.6985 | 2.7027 | 1 | |
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| 2.6918 | 2.6973 | 2 | |
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| 2.6773 | 2.6898 | 3 | |
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| 2.6661 | 2.6802 | 4 | |
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| 2.6445 | 2.6683 | 5 | |
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| 2.6254 | 2.6545 | 6 | |
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| 2.6012 | 2.6390 | 7 | |
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| 2.5743 | 2.6219 | 8 | |
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| 2.5453 | 2.6027 | 9 | |
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| 2.5160 | 2.5818 | 10 | |
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| 2.4806 | 2.5587 | 11 | |
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| 2.4560 | 2.5357 | 12 | |
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| 2.4157 | 2.5126 | 13 | |
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| 2.3972 | 2.4922 | 14 | |
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| 2.3592 | 2.4719 | 15 | |
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| 2.3356 | 2.4495 | 16 | |
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| 2.3171 | 2.4337 | 17 | |
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| 2.2835 | 2.4169 | 18 | |
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| 2.2617 | 2.4000 | 19 | |
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| 2.2424 | 2.3856 | 20 | |
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| 2.2282 | 2.3738 | 21 | |
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| 2.2124 | 2.3625 | 22 | |
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| 2.2028 | 2.3552 | 23 | |
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| 2.1886 | 2.3472 | 24 | |
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| 2.1780 | 2.3425 | 25 | |
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| 2.1655 | 2.3373 | 26 | |
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| 2.1571 | 2.3344 | 27 | |
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| 2.1571 | 2.3324 | 28 | |
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| 2.1511 | 2.3317 | 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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