Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
liar2-binary-model – AI Model by abuhussain2001 | AlphaNeural AI
You can deploy this model and start earning money today!
abuhussain2001
/
liar2-binary-model
like
0
transformers
safetensors
roberta
text-classification
generated_from_trainer
FacebookAI/roberta-base
finetune
mit
text-embeddings-inference
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
liar2-binary-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: 0.2648
Accuracy: 0.912
F1: 0.8963
F1 Macro: 0.91
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: 3e-05
train_batch_size: 16
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 0.1
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
F1 Macro
0.2593
1.0
1149
0.2629
0.8916
0.8737
0.8894
0.2194
2.0
2298
0.2903
0.8968
0.882
0.8952
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
