pytorch tensorboard bert 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-MiniLM-L12-v2-finetuned-DIT-10_epochs
  results: []
---

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# paraphrase-multilingual-MiniLM-L12-v2-finetuned-DIT-10_epochs

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: 4.6933

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 91   | 9.1280          |
| No log        | 2.0   | 182  | 7.7624          |
| No log        | 3.0   | 273  | 6.8875          |
| No log        | 4.0   | 364  | 6.2064          |
| No log        | 5.0   | 455  | 5.6836          |
| 7.584         | 6.0   | 546  | 5.2978          |
| 7.584         | 7.0   | 637  | 5.0191          |
| 7.584         | 8.0   | 728  | 4.8337          |
| 7.584         | 9.0   | 819  | 4.7284          |
| 7.584         | 10.0  | 910  | 4.6933          |


### Framework versions

- Transformers 4.17.0
- Pytorch 1.10.2+cpu
- Datasets 2.0.0
- Tokenizers 0.11.6
