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xlm-roberta – AI Model by ruselkomp | AlphaNeural AI
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ruselkomp
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xlm-roberta
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transformers
pytorch
tensorboard
xlm-roberta
question-answering
generated_from_trainer
apache-2.0
endpoints_compatible
us
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xlm-roberta
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: 1.1842
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: 3
eval_batch_size: 3
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
1.0083
1.0
15104
0.9420
0.8093
2.0
30208
0.9264
0.5576
3.0
45312
1.1842
Framework versions
Transformers 4.20.0.dev0
Pytorch 1.11.0+cu113
Datasets 2.2.2.dev0
Tokenizers 0.12.1
