train_run-qwen2.5-0.5b-instruct-arabic-diacritization_10k

Bisher/train_run-qwen2.5-0.5b-instruct-arabic-diacritization_10k

train_run-qwen2.5-0.5b-instruct-arabic-diacritization_10k is a machine learning model from Bisher. 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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At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Apr 17, 2025
Updated: Apr 17, 2025
SHA: ae756acd

Base models

Qwen/Qwen2.5-0.5B-Instruct

Model card

From the Hugging Face model README

train_run-qwen2.5-0.5b-instruct-arabic-diacritization_10k

This model is a fine-tuned version of Qwen/Qwen2.5-0.5B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1187

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: 0.0002
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.PAGED_ADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.1195	0.8	500	0.1187

Framework versions

PEFT 0.14.0
Transformers 4.51.1
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1

Library: peft
License: apache-2.0
Created: Apr 17, 2025
Updated: Apr 17, 2025