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zjucc/
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: 1.5888

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: 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: 3

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	250	2.4302
2.7866	2.0	500	1.6925
2.7866	3.0	750	1.5888

Framework versions

Transformers 4.51.3
Pytorch 2.3.0+cu121
Datasets 3.6.0
Tokenizers 0.21.1

zjucc/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

zjucc/
my_awesome_qa_model