Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
bert-base-uncased-finetuned-semeval2020-task4b-base-e2-b32-l3e5 – AI Model by JazibEijaz | AlphaNeural AI
You can deploy this model and start earning money today!
JazibEijaz
/
bert-base-uncased-finetuned-semeval2020-task4b-base-e2-b32-l3e5
like
0
transformers
pytorch
tensorboard
bert
multiple-choice
generated_from_trainer
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
bert-base-uncased-finetuned-semeval2020-task4b-base-e2-b32-l3e5
This model is a fine-tuned version of
bert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4114
Accuracy: 0.8700
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: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
344
0.3773
0.8490
0.3812
2.0
688
0.4114
0.8700
Framework versions
Transformers 4.12.3
Pytorch 1.9.1
Datasets 1.12.1
Tokenizers 0.10.3
