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ocr-ex1-q3b-7k – AI Model by ahmedheakl | AlphaNeural AI

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ahmedheakl/
ocr-ex1-q3b-7k

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generated_from_trainer

Qwen/Qwen2.5-VL-3B-Instruct

text-generation-inference

endpoints_compatible

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ocr-ex1-q3b-7k

This model is a fine-tuned version of Qwen/Qwen2.5-VL-3B-Instruct on the i8n-ocr-7k 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: 2e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 64
total_train_batch_size: 1024
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

Transformers 4.49.0
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0