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Qwen2.5-0.5B_adamw_v2 – AI Model by Neira | AlphaNeural AI
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Neira
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Qwen2.5-0.5B_adamw_v2
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transformers
safetensors
qwen2
text-generation
generated_from_trainer
conversational
Qwen/Qwen2.5-0.5B
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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Qwen2.5-0.5B_adamw_v2
This model is a fine-tuned version of
Qwen/Qwen2.5-0.5B
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: 5e-05
train_batch_size: 4
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Use OptimizerNames.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_steps: 0.01
num_epochs: 1.0
Training results
Framework versions
Transformers 5.5.4
Pytorch 2.10.0+cu128
Datasets 4.8.3
Tokenizers 0.22.2
