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freelance-finetuning-model-2026-01-21_05.52.35 – AI Model by HarshVelaniNO | AlphaNeural AI
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HarshVelaniNO
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freelance-finetuning-model-2026-01-21_05.52.35
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peft
safetensors
adapter
lora
sft
transformers
trl
text-generation
conversational
Qwen/Qwen3-4B
apache-2.0
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freelance-finetuning-model-2026-01-21_05.52.35
This model is a fine-tuned version of
Qwen/Qwen3-4B
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: 3e-05
train_batch_size: 4
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Use OptimizerNames.PAGED_ADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
lr_scheduler_warmup_steps: 10
num_epochs: 1
Framework versions
PEFT 0.18.1
Transformers 4.57.6
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2
