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---
license: apache-2.0
base_model: sentence-transformers/all-MiniLM-L6-v2
tags:
- generated_from_keras_callback
model-index:
- name: kasrahabib/all-MiniLM-L6-v2-finetuned-isobased-req-detector_v3
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# kasrahabib/all-MiniLM-L6-v2-finetuned-isobased-req-detector_v3
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.
It achieves the following results on the evaluation set:
- Train Loss: 0.0937
- Validation Loss: 0.3926
- Epoch: 29
## 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': 3570, '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 |
|:----------:|:---------------:|:-----:|
| 2.7669 | 2.5868 | 0 |
| 2.2742 | 1.8750 | 1 |
| 1.6937 | 1.4343 | 2 |
| 1.3318 | 1.1742 | 3 |
| 1.0835 | 0.9818 | 4 |
| 0.9073 | 0.8713 | 5 |
| 0.7707 | 0.7725 | 6 |
| 0.6586 | 0.6982 | 7 |
| 0.5697 | 0.6336 | 8 |
| 0.4915 | 0.6005 | 9 |
| 0.4294 | 0.5569 | 10 |
| 0.3730 | 0.5356 | 11 |
| 0.3214 | 0.4918 | 12 |
| 0.2801 | 0.4575 | 13 |
| 0.2496 | 0.4503 | 14 |
| 0.2151 | 0.4572 | 15 |
| 0.1918 | 0.4230 | 16 |
| 0.1767 | 0.4110 | 17 |
| 0.1604 | 0.4110 | 18 |
| 0.1471 | 0.4040 | 19 |
| 0.1380 | 0.4070 | 20 |
| 0.1282 | 0.3987 | 21 |
| 0.1242 | 0.4021 | 22 |
| 0.1185 | 0.3951 | 23 |
| 0.1108 | 0.3915 | 24 |
| 0.1058 | 0.3937 | 25 |
| 0.1037 | 0.3988 | 26 |
| 0.1000 | 0.3914 | 27 |
| 0.0989 | 0.3908 | 28 |
| 0.0937 | 0.3926 | 29 |
### Framework versions
- Transformers 4.40.1
- TensorFlow 2.15.0
- Datasets 2.19.1
- Tokenizers 0.19.1
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