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142_sft_aitw_all_2b – AI Model by cjfcsjt | AlphaNeural AI
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142_sft_aitw_all_2b
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peft
tensorboard
safetensors
llama-factory
lora
generated_from_trainer
Qwen/Qwen2-VL-2B-Instruct
adapter
other
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sft_aitw_all
This model is a fine-tuned version of
Qwen/Qwen2-VL-2B-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
