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sft_all_formats_20251120_ep2_lr3e5_qwen3-vl-8b – AI Model by chancharikm | AlphaNeural AI

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chancharikm/
sft_all_formats_20251120_ep2_lr3e5_qwen3-vl-8b

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image-text-to-text

generated_from_trainer

Qwen/Qwen3-VL-8B-Instruct

endpoints_compatible

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sft_all_formats_20251120_ep2_lr3e5_qwen3-vl-8b

This model is a fine-tuned version of Qwen/Qwen3-VL-8B-Instruct on the sft_all_formats_20251120 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: 3e-05
train_batch_size: 10
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 64
gradient_accumulation_steps: 2
total_train_batch_size: 1280
total_eval_batch_size: 512
optimizer: Use adamw_torch_fused 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: 0.05
num_epochs: 2.0

Training results

Framework versions

Transformers 4.57.1
Pytorch 2.9.1+cu128
Datasets 4.0.0
Tokenizers 0.22.1