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Hal_bge-m3-zeroshot-v2.0_finetuned_2
Kuongan/Hal_bge-m3-zeroshot-v2.0_finetuned_2
Hal_bge-m3-zeroshot-v2.0_finetuned_2 is a text classification model from Kuongan. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Oct 2, 2025
- Updated
- Oct 2, 2025
- SHA
- 6bf33281
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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. -->
Hal_bge-m3-zeroshot-v2.0_finetuned_2
This model is a fine-tuned version of MoritzLaurer/bge-m3-zeroshot-v2.0 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5406
- Accuracy: 0.8086
- F1 Macro: 0.8087
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: 32
- eval_batch_size: 32
- 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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
|---|---|---|---|---|---|
| No log | 1.0 | 175 | 0.5406 | 0.8086 | 0.8087 |
| No log | 2.0 | 350 | 0.5696 | 0.8036 | 0.8029 |
| 0.5047 | 3.0 | 525 | 0.6205 | 0.7936 | 0.7931 |
| 0.5047 | 4.0 | 700 | 0.6416 | 0.7957 | 0.7958 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Oct 2, 2025
- Updated
- Oct 2, 2025