---
license: apache-2.0
tags:
- mlm
- generated_from_trainer
model-index:
- name: article2keyword2.1b_paraphrase-multilingual-MiniLM-L12-v2_finetuned_for_mlm
  results: []
---

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# article2keyword2.1b_paraphrase-multilingual-MiniLM-L12-v2_finetuned_for_mlm

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: 0.0673

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 16
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.3777        | 1.0   | 1353  | 0.3168          |
| 0.2358        | 2.0   | 2706  | 0.1564          |
| 0.1372        | 3.0   | 4059  | 0.1149          |
| 0.1046        | 4.0   | 5412  | 0.0956          |
| 0.086         | 5.0   | 6765  | 0.0853          |
| 0.0741        | 6.0   | 8118  | 0.0786          |
| 0.0653        | 7.0   | 9471  | 0.0750          |
| 0.0594        | 8.0   | 10824 | 0.0726          |
| 0.0542        | 9.0   | 12177 | 0.0699          |
| 0.0504        | 10.0  | 13530 | 0.0692          |
| 0.047         | 11.0  | 14883 | 0.0684          |
| 0.0444        | 12.0  | 16236 | 0.0675          |
| 0.0423        | 13.0  | 17589 | 0.0674          |
| 0.0404        | 14.0  | 18942 | 0.0673          |
| 0.0392        | 15.0  | 20295 | 0.0672          |
| 0.0379        | 16.0  | 21648 | 0.0673          |


### Framework versions

- Transformers 4.21.1
- Pytorch 1.11.0
- Datasets 2.3.2
- Tokenizers 0.12.1