finetuned_RU_NEN

Aleksandra-Aleksandra/finetuned_RU_NEN

finetuned_RU_NEN is a machine learning model from Aleksandra-Aleksandra. 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 apache-2.0.

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

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At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Jun 9, 2025
Updated: Jun 9, 2025
SHA: cb768047

Base models

Aleksandra-Aleksandra/finetuned

Model card

From the Hugging Face model README

finetuned_RU_NEN

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

Loss: 6.3834

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: 20
seed: 42
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: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
6.599	1.0	7828	6.4695
6.5468	2.0	15656	6.4019
6.4953	3.0	23484	6.3834

Framework versions

Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1

Library: transformers
Type: t5
License: apache-2.0
Created: Jun 9, 2025
Updated: Jun 9, 2025