3adapter_backbone_100k_v2_test

ttqdunggg/3adapter_backbone_100k_v2_test

3adapter_backbone_100k_v2_test is a machine learning model from ttqdunggg. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as agpl-3.0.

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

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At a glance

Library: transformers
License: agpl-3.0
Model type: roberta
Access: Public
Created: Nov 13, 2025
Updated: Nov 13, 2025
SHA: cf5eeba7

Base models

ttqdunggg/cls_10_backbone_100k

Model card

From the Hugging Face model README

3adapter_backbone_100k_v2_test

This model is a fine-tuned version of ttqdunggg/cls_10_backbone_100k on the None dataset. It achieves the following results on the evaluation set:

Acc Content: 0.9585
F1 Content: 0.9523
Loss: 0.0381

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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Use OptimizerNames.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	Acc Content	F1 Content	Validation Loss
0.0511	1.0	1057	0.9583	0.9520	0.0416
0.0424	2.0	2114	0.9584	0.9522	0.0385
0.0419	3.0	3171	0.9585	0.9523	0.0381

Framework versions

Transformers 4.57.1
Pytorch 2.6.0+cu124
Datasets 4.4.1
Tokenizers 0.22.1

Library: transformers
Type: roberta
License: agpl-3.0
Created: Nov 13, 2025
Updated: Nov 13, 2025