Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
roberta-base_fold_9 – AI Model by OliverHeine | AlphaNeural AI
You can deploy this model and start earning money today!
OliverHeine
/
roberta-base_fold_9
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
roberta-base_fold_9
This model is a fine-tuned version of
roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0260
Accuracy: 0.9948
F1: 0.9904
Precision: 0.9964
Recall: 0.9844
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: 38
eval_batch_size: 38
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
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
0.0445
1.0
3983
0.0305
0.9934
0.9877
0.9922
0.9833
0.0266
2.0
7966
0.0244
0.9945
0.9898
0.9944
0.9852
0.0217
3.0
11949
0.0260
0.9948
0.9904
0.9964
0.9844
Framework versions
Transformers 5.3.0
Pytorch 2.10.0+cu128
Datasets 4.6.1
Tokenizers 0.22.2
