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vraman54/
healthinsurance_qa_model

Name: healthinsurance_qa_model
Availability: InStock

generated_from_trainer

distilbert/distilbert-base-uncased

finetune

apache-2.0

endpoints_compatible

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healthinsurance_qa_model

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

Loss: 5.1759

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
No log	1.0	2	5.4556
No log	2.0	4	5.2598
No log	3.0	6	5.1759

Framework versions

Transformers 4.39.3
Pytorch 2.2.2+cpu
Datasets 2.18.0
Tokenizers 0.15.2

vraman54/healthinsurance_qa_model

healthinsurance_qa_model

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

vraman54/
healthinsurance_qa_model