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vi-mrc-large-version-1 – AI Model by SalmonAI123 | AlphaNeural AI
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SalmonAI123
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vi-mrc-large-version-1
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transformers
pytorch
roberta
question-answering
generated_from_trainer
nguyenvulebinh/vi-mrc-large
finetune
cc-by-nc-4.0
endpoints_compatible
us
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Model card
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vi-mrc-large-version-1
This model is a fine-tuned version of
nguyenvulebinh/vi-mrc-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.4380
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: 4
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
172
0.9088
No log
2.0
344
1.2489
0.6437
3.0
516
1.3131
0.6437
4.0
688
1.4380
Framework versions
Transformers 4.33.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3
