---
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-iso29148-nf_sub_req-embdr
  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-iso29148-nf_sub_req-embdr

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: 2.1511
- Validation Loss: 2.3317
- 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': 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}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 2.7091     | 2.7071          | 0     |
| 2.6985     | 2.7027          | 1     |
| 2.6918     | 2.6973          | 2     |
| 2.6773     | 2.6898          | 3     |
| 2.6661     | 2.6802          | 4     |
| 2.6445     | 2.6683          | 5     |
| 2.6254     | 2.6545          | 6     |
| 2.6012     | 2.6390          | 7     |
| 2.5743     | 2.6219          | 8     |
| 2.5453     | 2.6027          | 9     |
| 2.5160     | 2.5818          | 10    |
| 2.4806     | 2.5587          | 11    |
| 2.4560     | 2.5357          | 12    |
| 2.4157     | 2.5126          | 13    |
| 2.3972     | 2.4922          | 14    |
| 2.3592     | 2.4719          | 15    |
| 2.3356     | 2.4495          | 16    |
| 2.3171     | 2.4337          | 17    |
| 2.2835     | 2.4169          | 18    |
| 2.2617     | 2.4000          | 19    |
| 2.2424     | 2.3856          | 20    |
| 2.2282     | 2.3738          | 21    |
| 2.2124     | 2.3625          | 22    |
| 2.2028     | 2.3552          | 23    |
| 2.1886     | 2.3472          | 24    |
| 2.1780     | 2.3425          | 25    |
| 2.1655     | 2.3373          | 26    |
| 2.1571     | 2.3344          | 27    |
| 2.1571     | 2.3324          | 28    |
| 2.1511     | 2.3317          | 29    |


### Framework versions

- Transformers 4.40.1
- TensorFlow 2.15.0
- Datasets 2.19.1
- Tokenizers 0.19.1