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vi-mrc-large-version-2-ViMrcbase-version-1 – AI Model by SalmonAI123 | AlphaNeural AI
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SalmonAI123
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vi-mrc-large-version-2-ViMrcbase-version-1
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transformers
pytorch
roberta
question-answering
generated_from_trainer
SalmonAI123/vi-mrc-large-version-2
finetune
cc-by-nc-4.0
endpoints_compatible
us
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vi-mrc-large-version-2-ViMrcbase-version-1
This model is a fine-tuned version of
SalmonAI123/vi-mrc-large-version-2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.7317
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: 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
0.4757
1.0
1712
0.6749
0.3126
2.0
3424
0.7317
Framework versions
Transformers 4.33.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3
