BART-Mobil-Backend

mihrban/BART-Mobil-Backend

BART-Mobil-Backend is a machine learning model from mihrban. 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: bart
Access: Public
Created: Dec 3, 2025
Updated: Dec 3, 2025
SHA: 1634f19a

Base models

facebook/bart-base

Model card

From the Hugging Face model README

BART-Mobil-Backend

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

Loss: 2.1108

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: 4
eval_batch_size: 4
seed: 42
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
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	225	2.1630
No log	2.0	450	2.1240
2.4401	3.0	675	2.1108

Framework versions

Transformers 4.57.3
Pytorch 2.9.1+cu128
Datasets 4.4.1
Tokenizers 0.22.1

Library: transformers
Type: bart
License: apache-2.0
Created: Dec 3, 2025
Updated: Dec 3, 2025