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distilbert-fa-zwnj-base-MLM-pquad-finetuned-pquad – AI Model by Gholamreza | AlphaNeural AI
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Gholamreza
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distilbert-fa-zwnj-base-MLM-pquad-finetuned-pquad
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transformers
pytorch
tensorboard
distilbert
question-answering
generated_from_trainer
pquad
apache-2.0
endpoints_compatible
us
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distilbert-fa-zwnj-base-MLM-pquad-finetuned-pquad
This model is a fine-tuned version of
Gholamreza/distilbert-fa-zwnj-base-MLM-pquad
on the pquad dataset. It achieves the following results on the evaluation set:
Loss: 3.7239
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
3.8734
1.0
4003
3.8111
3.5667
2.0
8006
3.7239
Framework versions
Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2
