results

Vaishnaviid/results

results is a text classification model from Vaishnaviid. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: roberta
Access: Public
Created: Dec 1, 2025
Updated: Dec 1, 2025
SHA: 99995457

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Base models

Model card

From the Hugging Face model README

results

This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.9869
Accuracy: 0.416
Precision: 0.4383
Recall: 0.416
F1: 0.4041

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: 16
eval_batch_size: 16
seed: 42
optimizer: Use 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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
1.0564	1.0	282	1.0444	0.384	0.2832	0.384	0.3212
1.0119	2.0	564	0.9774	0.424	0.3595	0.424	0.3671
0.9876	3.0	846	0.9699	0.43	0.3975	0.43	0.3972
0.973	4.0	1128	0.9629	0.444	0.4561	0.444	0.4349
0.9313	5.0	1410	0.9572	0.452	0.4733	0.452	0.4451

Framework versions

Transformers 4.57.3
Pytorch 2.9.1+cu128
Datasets 4.4.1
Tokenizers 0.22.1

Task: Text Classification
Library: transformers
Type: roberta
License: mit
Created: Dec 1, 2025
Updated: Dec 1, 2025