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Best-clean-ViMrcbase-NLI-version-1 – AI Model by SalmonAI123 | AlphaNeural AI
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Best-clean-ViMrcbase-NLI-version-1
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transformers
pytorch
roberta
question-answering
generated_from_trainer
nguyenvulebinh/vi-mrc-base
finetune
cc-by-nc-4.0
endpoints_compatible
us
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Best-clean-ViMrcbase-NLI-version-1
This model is a fine-tuned version of
nguyenvulebinh/vi-mrc-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.7940
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: 1e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
1.0728
1.0
798
0.7467
0.5326
2.0
1596
0.7940
Framework versions
Transformers 4.33.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3
