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distill-qwen3-8b-final – AI Model by aaabiao | AlphaNeural AI

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aaabiao/
distill-qwen3-8b-final

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text-generation

generated_from_trainer

Qwen/Qwen3-8B-Base

autotrain_compatible

text-generation-inference

endpoints_compatible

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qwen3-8b

This model is a fine-tuned version of Qwen/Qwen3-8B-Base on the distill_qwen3_8b 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: 5e-06
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 64
gradient_accumulation_steps: 8
total_train_batch_size: 512
total_eval_batch_size: 512
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: 0.1
num_epochs: 2.0

Training results

Framework versions

Transformers 4.51.0
Pytorch 2.5.1
Datasets 3.1.0
Tokenizers 0.21.1