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qwen3.5-0.8b-task_3-lora – AI Model by AbstractPhil | AlphaNeural AI
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AbstractPhil
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qwen3.5-0.8b-task_3-lora
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peft
safetensors
adapter
lora
transformers
text-generation
Qwen/Qwen3.5-0.8B
apache-2.0
us
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qwen3.5-0.8b-task_3-lora
This model is a fine-tuned version of
Qwen/Qwen3.5-0.8B
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: 0.0002
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
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: 0.03
num_epochs: 2
Training results
Framework versions
PEFT 0.19.1
Transformers 5.8.1
Pytorch 2.10.0+cu128
Datasets 4.8.5
Tokenizers 0.22.2
