Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
bert-base-uncased-finetuned-squad – AI Model by HarryNewcomb | AlphaNeural AI
You can deploy this model and start earning money today!
HarryNewcomb
/
bert-base-uncased-finetuned-squad
like
0
transformers
pytorch
tensorboard
bert
question-answering
generated_from_trainer
squad
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
bert-base-uncased-finetuned-squad
This model is a fine-tuned version of
bert-base-uncased
on the squad dataset. It achieves the following results on the evaluation set:
Loss: 1.0802
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
1.0682
1.0
5533
1.0195
0.8045
2.0
11066
1.0386
0.5819
3.0
16599
1.0802
Framework versions
Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2
