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finetuned-Qwen3-4B-Instruct-WSD-Think – AI Model by deshanksuman | AlphaNeural AI
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deshanksuman
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finetuned-Qwen3-4B-Instruct-WSD-Think
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transformers
safetensors
text-generation-inference
trl
qwen
wsd
ambiguity
text-classification
en
deshanksuman/Instruct_Finetune_with_Reasoning_WSD
Qwen/Qwen3-4B
finetune
apache-2.0
endpoints_compatible
us
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Developed by:
deshanksuman
License:
apache-2.0
Finetuned from model :
Qwen/Qwen3-4B
Dataset
Fews Training data arranged in the format of Instruction, Input and output deshanksuman/Instruct_Finetune_with_Reasoning_WSD
Hyperparameter for Training
per_device_train_batch_size=4,
gradient_accumulation_steps=8,
warmup_steps=50,
num_train_epochs=2,
learning_rate=2e-4,
fp16=not torch.cuda.is_bf16_supported(),
bf16=torch.cuda.is_bf16_supported(),
logging_steps=10,
optim="adamw_torch",
weight_decay=0.01,
lr_scheduler_type="linear",
seed=3407
This is developed by Deshan Sumanathilaka
https://sumanathilaka.github.io
Acknowledgement
We acknowledge the support of the Supercomputing Wales project, which is part-funded by the European Regional Development Fund (ERDF) via Welsh Government.