pytorch xlm-roberta text-generation transformers generated_from_trainer license:apache-2.0 model-index
---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: paraphrase-multilingual-mpnet-base-v2-tuned-smartcat
  results: []
---

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# paraphrase-multilingual-mpnet-base-v2-tuned-smartcat

This model is a fine-tuned version of [sentence-transformers/paraphrase-multilingual-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000

## 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: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 0.0072        | 0.16  | 10000  | 0.0025          |
| 0.0014        | 0.32  | 20000  | 0.0005          |
| 0.0004        | 0.48  | 30000  | 0.0002          |
| 0.0002        | 0.64  | 40000  | 0.0001          |
| 0.0003        | 0.81  | 50000  | 0.0001          |
| 0.0002        | 0.97  | 60000  | 0.0000          |
| 0.0001        | 1.13  | 70000  | 0.0000          |
| 0.0001        | 1.29  | 80000  | 0.0000          |
| 0.0001        | 1.45  | 90000  | 0.0000          |
| 0.0001        | 1.61  | 100000 | 0.0000          |
| 0.0           | 1.77  | 110000 | 0.0000          |
| 0.0           | 1.93  | 120000 | 0.0000          |


### Framework versions

- Transformers 4.19.2
- Pytorch 1.11.0+cu102
- Datasets 2.2.1
- Tokenizers 0.12.1
