roberta-finetuned – AI Model by mehddii | AlphaNeural AI

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mehddii/
roberta-finetuned

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text-classification

generated_from_trainer

FacebookAI/roberta-base

text-embeddings-inference

endpoints_compatible

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roberta-finetuned

This model is a fine-tuned version of FacebookAI/roberta-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0130
Accuracy: 0.9987
F1: 0.9991
Precision: 0.9987
Recall: 0.9996
Roc Auc: 0.9999
Tpr@fpr1%: 0.9998

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: 64
eval_batch_size: 128
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

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall	Roc Auc	Tpr@fpr1%
0.0338	1.0	2642	0.0092	0.9988	0.9992	0.9989	0.9994	0.9999	0.9996
0.0000	2.0	5284	0.0070	0.9989	0.9993	0.9994	0.9991	0.9999	0.9998
0.0011	3.0	7926	0.0130	0.9987	0.9991	0.9987	0.9996	0.9999	0.9998

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.8.3
Tokenizers 0.22.2