---
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-f_nf_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-f_nf_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: 0.0009
- Validation Loss: 0.6623
- 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': 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}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 0.5280     | 0.3710          | 0     |
| 0.3075     | 0.3428          | 1     |
| 0.2140     | 0.3139          | 2     |
| 0.1252     | 0.3637          | 3     |
| 0.0794     | 0.3695          | 4     |
| 0.0506     | 0.4162          | 5     |
| 0.0384     | 0.4577          | 6     |
| 0.0253     | 0.4791          | 7     |
| 0.0190     | 0.5735          | 8     |
| 0.0119     | 0.5711          | 9     |
| 0.0141     | 0.5977          | 10    |
| 0.0131     | 0.5945          | 11    |
| 0.0060     | 0.6052          | 12    |
| 0.0098     | 0.6270          | 13    |
| 0.0080     | 0.6484          | 14    |
| 0.0098     | 0.6139          | 15    |
| 0.0064     | 0.6103          | 16    |
| 0.0067     | 0.6232          | 17    |
| 0.0078     | 0.6205          | 18    |
| 0.0067     | 0.6126          | 19    |
| 0.0039     | 0.6108          | 20    |
| 0.0039     | 0.6407          | 21    |
| 0.0052     | 0.6501          | 22    |
| 0.0043     | 0.6523          | 23    |
| 0.0048     | 0.6800          | 24    |
| 0.0071     | 0.6644          | 25    |
| 0.0014     | 0.6600          | 26    |
| 0.0026     | 0.6578          | 27    |
| 0.0010     | 0.6613          | 28    |
| 0.0009     | 0.6623          | 29    |


### Framework versions

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