metadata
base_model: cointegrated/LaBSE-en-ru
tags:
- generated_from_trainer
model-index:
- name: LaBSE-en-ru-finetuned-nlu
results: []
LaBSE-en-ru-finetuned-nlu
This model is a fine-tuned version of 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