---
library_name: transformers
license: apache-2.0
base_model: sentence-transformers/all-MiniLM-L12-v2
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: allminidatamarker
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# allminidatamarker

This model is a fine-tuned version of [sentence-transformers/all-MiniLM-L12-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L12-v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5075
- Precision: 0.2471
- Recall: 0.7698
- F1: 0.3741
- Accuracy: 0.8521

## 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:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 1.0925        | 1.0   | 38   | 0.6276          | 0.0122    | 0.0719 | 0.0208 | 0.8231   |
| 1.0925        | 2.0   | 76   | 0.3662          | 0.0677    | 0.4245 | 0.1167 | 0.8200   |
| 0.5958        | 3.0   | 114  | 0.4129          | 0.1643    | 0.7338 | 0.2684 | 0.8132   |
| 0.5958        | 4.0   | 152  | 0.4021          | 0.2243    | 0.8777 | 0.3572 | 0.8240   |
| 0.5958        | 5.0   | 190  | 0.3689          | 0.2495    | 0.8921 | 0.3899 | 0.8458   |
| 0.1649        | 6.0   | 228  | 0.3811          | 0.2597    | 0.8201 | 0.3945 | 0.8573   |
| 0.1649        | 7.0   | 266  | 0.4279          | 0.2806    | 0.8417 | 0.4209 | 0.8602   |
| 0.0941        | 8.0   | 304  | 0.4482          | 0.2322    | 0.7050 | 0.3494 | 0.8535   |
| 0.0941        | 9.0   | 342  | 0.4992          | 0.1965    | 0.5612 | 0.2910 | 0.8483   |
| 0.0941        | 10.0  | 380  | 0.5075          | 0.2471    | 0.7698 | 0.3741 | 0.8521   |


### Framework versions

- Transformers 4.53.2
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2