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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-f_nf_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-f_nf_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: 0.0009 |
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- Validation Loss: 0.6623 |
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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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| 0.5280 | 0.3710 | 0 | |
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| 0.3075 | 0.3428 | 1 | |
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| 0.2140 | 0.3139 | 2 | |
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| 0.1252 | 0.3637 | 3 | |
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| 0.0794 | 0.3695 | 4 | |
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| 0.0506 | 0.4162 | 5 | |
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| 0.0384 | 0.4577 | 6 | |
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| 0.0253 | 0.4791 | 7 | |
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| 0.0190 | 0.5735 | 8 | |
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| 0.0119 | 0.5711 | 9 | |
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| 0.0141 | 0.5977 | 10 | |
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| 0.0131 | 0.5945 | 11 | |
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| 0.0060 | 0.6052 | 12 | |
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| 0.0098 | 0.6270 | 13 | |
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| 0.0080 | 0.6484 | 14 | |
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| 0.0098 | 0.6139 | 15 | |
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| 0.0064 | 0.6103 | 16 | |
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| 0.0067 | 0.6232 | 17 | |
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| 0.0078 | 0.6205 | 18 | |
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| 0.0067 | 0.6126 | 19 | |
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| 0.0039 | 0.6108 | 20 | |
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| 0.0039 | 0.6407 | 21 | |
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| 0.0052 | 0.6501 | 22 | |
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| 0.0043 | 0.6523 | 23 | |
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| 0.0048 | 0.6800 | 24 | |
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| 0.0071 | 0.6644 | 25 | |
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| 0.0014 | 0.6600 | 26 | |
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| 0.0026 | 0.6578 | 27 | |
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| 0.0010 | 0.6613 | 28 | |
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| 0.0009 | 0.6623 | 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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