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