---
base_model: cointegrated/LaBSE-en-ru
tags:
- generated_from_trainer
model-index:
- name: LaBSE-en-ru-finetuned-nlu
  results: []
---

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# LaBSE-en-ru-finetuned-nlu

This model is a fine-tuned version of [cointegrated/LaBSE-en-ru](https://huggingface.co/cointegrated/LaBSE-en-ru) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 7.7706

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 30   | 8.8351          |
| No log        | 2.0   | 60   | 7.9808          |
| No log        | 3.0   | 90   | 7.6392          |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.0
- Tokenizers 0.14.1