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aminnaghavi/
bert-base-parsbert-uncased-finetuned-perQA

Name: bert-base-parsbert-uncased-finetuned-perQA
Availability: InStock

generated_from_trainer

persian_qa

endpoints_compatible

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bert-base-parsbert-uncased-finetuned-perQA

This model is a fine-tuned version of HooshvareLab/bert-base-parsbert-uncased on the persian_qa dataset. It achieves the following results on the evaluation set:

Loss: 1.8648

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss
2.9599	1.0	565	2.0185
1.8889	2.0	1130	1.8088
1.4282	3.0	1695	1.8648

Framework versions

Transformers 4.20.0
Pytorch 1.11.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1

aminnaghavi/bert-base-parsbert-uncased-finetuned-perQA

bert-base-parsbert-uncased-finetuned-perQA

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

aminnaghavi/
bert-base-parsbert-uncased-finetuned-perQA