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phobert-qa-finetuned-viet-qa – AI Model by duyduong9htv | AlphaNeural AI
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phobert-qa-finetuned-viet-qa
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transformers
pytorch
tensorboard
safetensors
roberta
question-answering
generated_from_trainer
endpoints_compatible
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phobert-qa-finetuned-viet-qa
This model is a fine-tuned version of
vinai/phobert-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.5288
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: 16
eval_batch_size: 16
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
1.6004
1.0
2027
1.5128
1.3018
2.0
4054
1.4657
1.1052
3.0
6081
1.4754
0.9502
4.0
8108
1.5288
Framework versions
Transformers 4.23.0.dev0
Pytorch 1.12.1+cu113
Datasets 2.5.1
Tokenizers 0.12.1
