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parsbert_v2 – AI Model by MahdisHosseini | AlphaNeural AI
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MahdisHosseini
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parsbert_v2
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pytorch
tensorboard
bert
generated_from_trainer
us
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parsbert_v2
This model is a fine-tuned version of
pedramyazdipoor/parsbert_question_answering_PQuAD
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.0320
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: 8
eval_batch_size: 8
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
0.8457
0.49
500
2.5219
2.1103
0.99
1000
1.7911
1.0939
1.48
1500
2.0362
1.1607
1.97
2000
2.0320
Framework versions
Transformers 4.17.0
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1
