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Munnafaisal/
my_awesome_qa_model

Name: my_awesome_qa_model
Availability: InStock

generated_from_trainer

distilbert/distilbert-base-uncased

finetune

apache-2.0

endpoints_compatible

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my_awesome_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: 1.1606

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-06
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
0.8816	1.0	750	1.1553
0.8453	2.0	1500	1.1501
0.8023	3.0	2250	1.1400
0.8053	4.0	3000	1.1513
0.7948	5.0	3750	1.1592
0.7784	6.0	4500	1.1545
0.7721	7.0	5250	1.1519
0.7643	8.0	6000	1.1552
0.7505	9.0	6750	1.1589
0.7537	10.0	7500	1.1606

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2

Munnafaisal/my_awesome_qa_model

my_awesome_qa_model

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Munnafaisal/
my_awesome_qa_model