Qwen3-Reranker-0.6B-finetune – AI Model by Mithilss | AlphaNeural AI

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Mithilss/
Qwen3-Reranker-0.6B-finetune

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text-classification

generated_from_trainer

Qwen/Qwen3-Reranker-0.6B

text-embeddings-inference

endpoints_compatible

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Qwen3-Reranker-0.6B-finetune

This model is a fine-tuned version of Qwen/Qwen3-Reranker-0.6B on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3883
Spearman: 0.5197

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: 16
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Spearman
No log	0	0	0.4995	-0.0788
0.5452	0.4916	1000	0.3987	0.4798
0.234	0.9833	2000	0.3926	0.5032
0.7425	1.4749	3000	0.3907	0.5146
0.5159	1.9666	4000	0.3893	0.5188
0.5286	2.4582	5000	0.3883	0.5192
0.2859	2.9499	6000	0.3883	0.5197

Framework versions

Transformers 4.56.2
Pytorch 2.8.0+cu128
Datasets 3.6.0
Tokenizers 0.22.1