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142_sft_aitw_all – AI Model by cjfcsjt | AlphaNeural AI

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cjfcsjt/
142_sft_aitw_all

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Qwen/Qwen2-VL-7B-Instruct

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sft_aitw_all

This model is a fine-tuned version of Qwen/Qwen2-VL-7B-Instruct on the vl_sft_data_aitw 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: 0.0001
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 4
total_train_batch_size: 32
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1.0

Training results

Framework versions

PEFT 0.12.0
Transformers 4.45.0
Pytorch 2.4.1+cu121
Datasets 2.20.0
Tokenizers 0.20.1