roberta-asap-aes-cv-fold2

BaturalpKorpe/roberta-asap-aes-cv-fold2

roberta-asap-aes-cv-fold2 is a machine learning model from BaturalpKorpe. 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 mit.

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

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Public

Updated Dec 19, 2025

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At a glance

Library: transformers
License: mit
Access: Public
Created: Dec 19, 2025
Updated: Dec 19, 2025
SHA: 6d4f9181

Base models

Model card

From the Hugging Face model README

roberta-asap-aes-cv-fold2

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

Loss: 0.0170
Qwk Meanfisher: 0.7652
Rmse: 1.4811

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: 2.9950908657191678e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
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_ratio: 0.1878777696731208
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Qwk Meanfisher	Rmse
0.0431	1.0	1947	0.0205	0.6643	1.5883
0.0126	2.0	3894	0.0272	0.6325	2.6516
0.0261	3.0	5841	0.0170	0.7652	1.4811

Framework versions

Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1

Library: transformers
License: mit
Created: Dec 19, 2025
Updated: Dec 19, 2025