metadata
library_name: transformers
license: apache-2.0
base_model: Qwen/Qwen3-Reranker-0.6B
tags:
- unsloth
- generated_from_trainer
model-index:
- name: Qwen3-Reranker-0.6B-finetune
results: []
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