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Qwen2.5-32B-Tag – AI Model by Keven16 | AlphaNeural AI
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Qwen2.5-32B-Tag
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Qwen2.5-32B-Tag
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: 1e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 8
total_train_batch_size: 32
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Framework versions
Transformers 4.43.4
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1
