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qwen2-7b-instruct-amazon-description – AI Model by Ryankwon0916 | AlphaNeural AI
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qwen2-7b-instruct-amazon-description
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transformers
tensorboard
safetensors
qwen2_vl
image-to-text
trl
sft
generated_from_trainer
Qwen/Qwen2-VL-2B-Instruct
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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qwen2-7b-instruct-amazon-description
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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: 0.0002
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 3
Training results
Framework versions
Transformers 4.45.1
Pytorch 2.4.0+cu121
Datasets 3.0.1
Tokenizers 0.20.3
