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qwenfintuned – AI Model by Anishka25 | AlphaNeural AI
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Anishka25
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qwenfintuned
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peft
safetensors
trl
sft
generated_from_trainer
Qwen/Qwen2-VL-7B-Instruct
adapter
apache-2.0
us
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qwenfintuned
This model is a fine-tuned version of
Qwen/Qwen2-VL-7B-Instruct
on an unknown 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: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 256
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: 0.03
num_epochs: 1
Training results
Framework versions
PEFT 0.13.0
Transformers 4.47.0.dev0
Pytorch 2.4.0+cu121
Datasets 3.0.1
Tokenizers 0.20.1
