HooshvareLab_bert-fa-base-uncased_finetune-on-hoshfa

phd411r1/HooshvareLab_bert-fa-base-uncased_finetune-on-hoshfa

HooshvareLab_bert-fa-base-uncased_finetune-on-hoshfa is a question answering model from phd411r1. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Question Answering
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Jan 29, 2023
Updated: Jan 29, 2023
SHA: 196f387c

Try a prompt

Model card

From the Hugging Face model README

bert-fa-base-uncased-finetune_on_hoshfa

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

Loss: 2.5274

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: 6
eval_batch_size: 6
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
2.3643	1.0	1604	2.1323
1.5142	2.0	3208	2.1392
0.8834	3.0	4812	2.5274

Framework versions

Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2

Task: Question Answering
Library: transformers
Type: bert
License: apache-2.0
Created: Jan 29, 2023
Updated: Jan 29, 2023