naamapadam-assamese-oriya-stage2-full

user10383/naamapadam-assamese-oriya-stage2-full

naamapadam-assamese-oriya-stage2-full is a machine learning model from user10383. 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 peft. The card lists the license as apache-2.0.

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

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Hugging Face

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At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Sep 19, 2025
Updated: Sep 19, 2025
SHA: 24c3f9a5

Base models

google-bert/bert-base-multilingual-cased

Model card

From the Hugging Face model README

naamapadam-assamese-oriya-stage2-full

This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: nan
Precision: 0.0
Recall: 0.0
F1: 0.0
Accuracy: 0.9083

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: 0.0003
train_batch_size: 16
eval_batch_size: 16
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: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0	0.5	306	nan	0.0	0.0	0.0	0.9083
0.0	1.0	612	nan	0.0	0.0	0.0	0.9083

Framework versions

PEFT 0.17.1
Transformers 4.56.1
Pytorch 2.8.0+cu126
Datasets 2.14.7
Tokenizers 0.22.0

Library: peft
License: apache-2.0
Created: Sep 19, 2025
Updated: Sep 19, 2025