Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
mcQA_model_bert-finetuned-enem – AI Model by Naiate | AlphaNeural AI
You can deploy this model and start earning money today!
Naiate
/
mcQA_model_bert-finetuned-enem
like
0
transformers
tensorboard
safetensors
bert
multiple-choice
generated_from_trainer
pallie/mcQA_model_bert
finetune
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
mcQA_model_bert-finetuned-enem
This model is a fine-tuned version of
pallie/mcQA_model_bert
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.6094
Accuracy: 0.2889
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: 4
eval_batch_size: 4
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
Accuracy
No log
1.0
467
1.6094
0.2192
1.617
2.0
934
1.6094
0.2481
1.6159
3.0
1401
1.6094
0.2889
Framework versions
Transformers 4.35.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.14.1
