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bge-reranker-v2-m3-finetune-lower-lr-gskf
Mithilss/bge-reranker-v2-m3-finetune-lower-lr-gskf
bge-reranker-v2-m3-finetune-lower-lr-gskf is a text classification model from Mithilss. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- xlm-roberta
- Access
- Public
- Created
- Oct 7, 2025
- Updated
- Oct 8, 2025
- SHA
- 521a1d4f
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
bge-reranker-v2-m3-finetune-lower-lr-gskf
This model is a fine-tuned version of BAAI/bge-reranker-v2-m3 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3791
- Spearman: 0.5224
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: 1e-05
- train_batch_size: 8
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Spearman |
|---|---|---|---|---|
| No log | 0 | 0 | 0.5732 | 0.4669 |
| 0.3112 | 0.2455 | 1000 | 0.3868 | 0.4925 |
| 0.4568 | 0.4910 | 2000 | 0.3778 | 0.5076 |
| 0.5635 | 0.7366 | 3000 | 0.3827 | 0.5181 |
| 0.8171 | 0.9821 | 4000 | 0.3776 | 0.5221 |
| 0.2512 | 1.2276 | 5000 | 0.3791 | 0.5228 |
| 0.1408 | 1.4731 | 6000 | 0.3788 | 0.5226 |
| 0.6803 | 1.7186 | 7000 | 0.3790 | 0.5225 |
| 0.2595 | 1.9642 | 8000 | 0.3791 | 0.5224 |
Framework versions
- Transformers 4.56.2
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- apache-2.0
- Created
- Oct 7, 2025
- Updated
- Oct 8, 2025