You can deploy this model and start earning money today!

krishanmittal018/
qa_model

Name: qa_model
Rating: 2.5 (5 reviews)

generated_from_trainer

distilbert/distilbert-base-uncased

finetune

apache-2.0

endpoints_compatible

Views

No views yet

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: 1.6574

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_FUSED 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	2.3489
2.7606	2.0	500	1.7477
2.7606	3.0	750	1.6574

Framework versions

Transformers 4.55.3
Pytorch 2.8.0+cpu
Datasets 4.0.0
Tokenizers 0.21.4

krishanmittal018/qa_model

qa_model

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

krishanmittal018/
qa_model