bart-eng-mn-qg2-finetuned

Alt4nsuh/bart-eng-mn-qg2-finetuned

bart-eng-mn-qg2-finetuned is a machine learning model from Alt4nsuh. 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.

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

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At a glance

Library: transformers
Model type: bart
Access: Public
Created: Mar 30, 2025
Updated: Mar 30, 2025
SHA: 5436df22

Base models

Alt4nsuh/bart-qg2-finetuned

Model card

From the Hugging Face model README

bart-eng-mn-qg2-finetuned

This model is a fine-tuned version of Alt4nsuh/bart-qg2-finetuned on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.8557

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 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: 5

Training results

Training Loss	Epoch	Step	Validation Loss
1.2436	1.0	500	0.9931
0.9983	2.0	1000	0.9698
0.9256	3.0	1500	0.8937
0.8852	4.0	2000	0.8588
0.8621	5.0	2500	0.8557

Framework versions

Transformers 4.50.0
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1

Library: transformers
Type: bart
Created: Mar 30, 2025
Updated: Mar 30, 2025