Bisher/train_run-DeepSeek-R1-Distill-Qwen-1.5B-arabic-diacritization_10k

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trainrun-DeepSeek-R1-Distill-Qwen-1.5B-arabic-diacritization10k

This model is a fine-tuned version of deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.1353

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
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 16
• —optimizer: Use OptimizerNames.PAGEDADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: constant
• —lrschedulerwarmup_ratio: 0.03
• —num_epochs: 1

Training results

Framework versions

• —PEFT 0.14.0
• —Transformers 4.51.1
• —Pytorch 2.5.1+cu124
• —Datasets 3.5.0
• —Tokenizers 0.21.0