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Evidence_Retrieval_model_vi_mrc – AI Model by tringuyen-uit | AlphaNeural AI
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Evidence_Retrieval_model_vi_mrc
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transformers
tensorboard
safetensors
roberta
question-answering
generated_from_trainer
nguyenvulebinh/vi-mrc-base
finetune
cc-by-nc-4.0
endpoints_compatible
us
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Evidence_Retrieval_model_vi_mrc
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: 0.4764
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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
0.5132
1.0
524
0.3571
0.2579
2.0
1048
0.3149
0.1958
3.0
1572
0.3707
0.1473
4.0
2096
0.4362
0.1066
5.0
2620
0.4764
Framework versions
Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2
