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qwen3-4b-sft – AI Model by 3N3G | AlphaNeural AI
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qwen3-4b-sft
This model is a fine-tuned version of
Qwen/Qwen3-4B
on the qwen3-eft-data-new_train dataset. It achieves the following results on the evaluation set:
Loss: 0.6345
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: 2e-07
train_batch_size: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 16
total_train_batch_size: 64
total_eval_batch_size: 4
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine_with_min_lr
lr_scheduler_warmup_ratio: 0.1
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
0.6558
2.2857
16
0.6358
Framework versions
Transformers 4.52.4
Pytorch 2.5.1
Datasets 3.6.0
Tokenizers 0.21.1
