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qwen3-0.6b-vazhi – AI Model by CryptoYogi | AlphaNeural AI | AlphaNeural AI
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CryptoYogi
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qwen3-0.6b-vazhi
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peft
safetensors
gguf
adapter
lora
transformers
text-generation
conversational
Qwen/Qwen3-0.6B
apache-2.0
endpoints_compatible
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qwen3-0.6b-vazhi
This model is a fine-tuned version of
Qwen/Qwen3-0.6B
on the None 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: 8e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.18.1
Transformers 5.1.0
Pytorch 2.8.0+cu126
Datasets 4.5.0
Tokenizers 0.22.1
