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SurajSphinx/
shipping_qa_model

Name: shipping_qa_model
Rating: 2.5 (7 reviews)

generated_from_trainer

distilbert/distilbert-base-uncased

finetune

apache-2.0

endpoints_compatible

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shipping_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: 0.5682

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	142	0.5914
No log	2.0	284	0.5791
No log	3.0	426	0.5682

Framework versions

Transformers 4.41.0.dev0
Pytorch 2.2.2+cu118
Datasets 2.18.0
Tokenizers 0.19.1

SurajSphinx/shipping_qa_model

shipping_qa_model

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

SurajSphinx/
shipping_qa_model