---
library_name: transformers
license: apache-2.0
base_model: sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: out
  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. -->

# out

This model is a fine-tuned version of [sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2](https://huggingface.co/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2579
- Accuracy: 0.9245
- F1: 0.9246

## 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: 3e-05
- train_batch_size: 256
- eval_batch_size: 512
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
| 1.3451        | 0.4484 | 100  | 0.8348          | 0.7538   | 0.7486 |
| 0.6432        | 0.8969 | 200  | 0.4679          | 0.8786   | 0.8786 |
| 0.4023        | 1.3453 | 300  | 0.3492          | 0.9044   | 0.9042 |
| 0.315         | 1.7937 | 400  | 0.2925          | 0.9141   | 0.9141 |
| 0.2705        | 2.2422 | 500  | 0.2723          | 0.9171   | 0.9173 |
| 0.2378        | 2.6906 | 600  | 0.2579          | 0.9245   | 0.9246 |


### Framework versions

- Transformers 4.57.6
- Pytorch 2.9.0+cu126
- Datasets 4.5.0
- Tokenizers 0.22.2