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bank_statement_qa_model_3 – AI Model by ChakuChidiya | AlphaNeural AI
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ChakuChidiya
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bank_statement_qa_model_3
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transformers
tensorboard
safetensors
distilbert
question-answering
generated_from_trainer
distilbert/distilbert-base-uncased-distilled-squad
finetune
apache-2.0
endpoints_compatible
us
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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
