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Colab_Notebooks – AI Model by Mike239 | AlphaNeural AI
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Colab_Notebooks
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transformers
pytorch
xlm-roberta
question-answering
generated_from_trainer
AlexKay/xlm-roberta-large-qa-multilingual-finedtuned-ru
finetune
apache-2.0
endpoints_compatible
us
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Model card
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Colab_Notebooks
This model is a fine-tuned version of
AlexKay/xlm-roberta-large-qa-multilingual-finedtuned-ru
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1137
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: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
159
0.2837
No log
2.0
318
0.2131
No log
3.0
477
0.1137
Framework versions
Transformers 4.33.3
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3