afriteva_base_trial2

ahmadmwali/afriteva_base_trial2

afriteva_base_trial2 is a machine learning model from ahmadmwali. 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.

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
Access: Public
Created: May 30, 2025
Updated: May 30, 2025
SHA: b214ba4d

Base models

castorini/afriteva_base

Model card

From the Hugging Face model README

afriteva_base_trial2

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

Bleu: 0.7722
F1: 0.8905
Wer: 0.1289
Cer: 0.0430
Meteor: 0.8794
Loss: 0.0646

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: 0.0005
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Use 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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Bleu	F1	Wer	Cer	Meteor	Validation Loss
0.1101	1.0	12500	0.7246	0.8700	0.1670	0.0720	0.8520	0.0820
0.0937	2.0	25000	0.7585	0.8842	0.1386	0.0481	0.8719	0.0701
0.0854	3.0	37500	0.7722	0.8905	0.1289	0.0430	0.8794	0.0646

Framework versions

PEFT 0.15.2
Transformers 4.50.0
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.1

Library: peft
Created: May 30, 2025
Updated: May 30, 2025