baseline-qwen3-4b-best – AI Model by boradorish | AlphaNeural AI

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boradorish/
baseline-qwen3-4b-best

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text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

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This model is a fine-tuned version of Qwen/Qwen3-4B on the sunny_reasoning dataset. It achieves the following results on the evaluation set:

Loss: 0.0106

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: 4e-05
train_batch_size: 2
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 16
total_train_batch_size: 64
total_eval_batch_size: 2
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.0035	0.3548	92	0.0129
0.0093	0.7096	184	0.0153
0.003	1.0617	276	0.0124
0.0111	1.4165	368	0.0112
0.0039	1.7713	460	0.0102
0.0048	2.1234	552	0.0104
0.0013	2.4782	644	0.0104
0.004	2.8330	736	0.0106

Framework versions

Transformers 4.56.2
Pytorch 2.11.0+cu128
Datasets 3.0.0
Tokenizers 0.22.2