Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
bert-base-cased-finetuned-squad-bs_16 – AI Model by lauraparra28 | AlphaNeural AI
You can deploy this model and start earning money today!
lauraparra28
/
bert-base-cased-finetuned-squad-bs_16
like
0
transformers
pytorch
bert
question-answering
generated_from_trainer
en
squad
google-bert/bert-base-cased
finetune
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
bert-base-cased-finetuned-squad-bs_16
This model is a fine-tuned version of
bert-base-cased
on the squad dataset. It achieves the following results on the evaluation set:
Loss: 1.3851
EM: 80.2270
F1: 88.0794
Overview
Language model:
bert-base-cased
Language:
English
Downstream-task:
Extractive QA
Training data:
SQuAD
Eval data:
SQuAD
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
1.0302
1.0
5546
1.0026
0.7716
2.0
11092
0.9711
0.5512
3.0
16638
1.1097
0.3971
4.0
22184
1.2117
0.2999
5.0
27730
1.3851
Framework versions
Transformers 4.34.0
Pytorch 1.12.1
Datasets 2.14.5
Tokenizers 0.14.1
