Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
bert-large-uncased-whole-word-masking-finetuned-squad_qa_model – AI Model by Chetna19 | AlphaNeural AI
You can deploy this model and start earning money today!
Chetna19
/
bert-large-uncased-whole-word-masking-finetuned-squad_qa_model
like
0
transformers
pytorch
bert
question-answering
generated_from_trainer
subjqa
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
bert-large-uncased-whole-word-masking-finetuned-squad_qa_model
This model is a fine-tuned version of
bert-large-uncased-whole-word-masking-finetuned-squad
on the subjqa dataset. It achieves the following results on the evaluation set:
Loss: 4.0801
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: 1e-07
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: 4
Training results
Training Loss
Epoch
Step
Validation Loss
3.9274
1.0
32
4.2355
3.8299
2.0
64
4.1462
3.7131
3.0
96
4.0968
3.7329
4.0
128
4.0801
Framework versions
Transformers 4.28.0
Pytorch 1.13.0a0+d321be6
Datasets 2.12.0
Tokenizers 0.13.3
