Qwen3-4B-Base-agnews – AI Model by g-assismoraes | AlphaNeural AI

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g-assismoraes/
Qwen3-4B-Base-agnews

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text-generation

generated_from_trainer

Qwen/Qwen3-4B-Base

autotrain_compatible

text-generation-inference

endpoints_compatible

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Qwen3-4B-Base-agnews

This model is a fine-tuned version of Qwen/Qwen3-4B-Base on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.1453

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-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
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: linear
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss
1.1394	1.0	27000	1.1448
1.0895	2.0	54000	1.1378
1.0584	3.0	81000	1.1390
1.0764	4.0	108000	1.1416
1.0098	5.0	135000	1.1433
1.0331	6.0	162000	1.1445
0.9837	7.0	189000	1.1452
1.0472	8.0	216000	1.1453

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.2.0
Tokenizers 0.21.0