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vlm-r1-ex3 – AI Model by ahmedheakl | AlphaNeural AI

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ahmedheakl/
vlm-r1-ex3

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ahmedheakl/vlm-r1-base

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vlm-r1-ex3

This model is a fine-tuned version of ahmedheakl/vlm-r1-base on the open_r1_v2 dataset.

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: 4e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 16
total_eval_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3.0

Training results

Framework versions

PEFT 0.12.0
Transformers 4.49.0
Pytorch 2.5.1+cu124
Datasets 2.16.1
Tokenizers 0.21.0