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LaBSE-en-ru-finetuned-nlu – AI Model by Maldopast | AlphaNeural AI
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Maldopast
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LaBSE-en-ru-finetuned-nlu
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transformers
pytorch
bert
fill-mask
generated_from_trainer
cointegrated/LaBSE-en-ru
finetune
autotrain_compatible
endpoints_compatible
us
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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
