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Qwen3-0.6B-h128-l4-a16-ctx256-pred64-vocab4096-MeanScaleUniform-lr1.0e-05-bs16-steps1000 – AI Model by kashif | AlphaNeural AI
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kashif
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Qwen3-0.6B-h128-l4-a16-ctx256-pred64-vocab4096-MeanScaleUniform-lr1.0e-05-bs16-steps1000
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transformers
safetensors
qwen3
text-generation
generated_from_trainer
Qwen/Qwen3-0.6B
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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Qwen3-0.6B-h128-l4-a16-ctx256-pred64-vocab4096-MeanScaleUniform-lr1.0e-05-bs16-steps1000
This model is a fine-tuned version of
Qwen/Qwen3-0.6B
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: 1e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH 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: 0.03
training_steps: 10000
Training results
Framework versions
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
