bank_statement_qa_model_3

ChakuChidiya/bank_statement_qa_model_3

bank_statement_qa_model_3 is a question answering model from ChakuChidiya. 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: distilbert
Access: Public
Created: Jun 4, 2025
Updated: Jun 9, 2025
SHA: 4e97e329

Try a prompt

Base models

distilbert/distilbert-base-uncased-distilled-squad

Model card

From the Hugging Face model README

bank_statement_qa_model_3

This model is a fine-tuned version of distilbert/distilbert-base-uncased-distilled-squad on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0359

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: 128
eval_batch_size: 128
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	74	0.0794
No log	2.0	148	0.0487
No log	3.0	222	0.0386
No log	4.0	296	0.0359

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1

Task: Question Answering
Library: transformers
Type: distilbert
License: apache-2.0
Created: Jun 4, 2025
Updated: Jun 9, 2025