Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
finetuned-roberta-bias-classification – AI Model by charisgao | AlphaNeural AI
You can deploy this model and start earning money today!
charisgao
/
finetuned-roberta-bias-classification
like
0
transformers
safetensors
roberta
text-classification
generated_from_trainer
FacebookAI/roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
model
This model is a fine-tuned version of
roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6344
Precision: 0.8128
Recall: 0.9363
F1: 0.8702
Accuracy: 0.8161
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.578
0.8547
100
0.5079
0.8108
0.8824
0.8451
0.7871
0.4531
1.7094
200
0.4576
0.8462
0.8627
0.8544
0.8065
0.3272
2.5641
300
0.6344
0.8128
0.9363
0.8702
0.8161
Framework versions
Transformers 4.46.2
Pytorch 2.5.1+cu121
Tokenizers 0.20.3
