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pollen_re2
DanielNRU/pollen_re2
pollen_re2 is a text classification model from DanielNRU. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- May 22, 2025
- Updated
- May 22, 2025
- SHA
- c618fbdc
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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. -->
pollen-re-model
This model is a fine-tuned version of DeepPavlov/rubert-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5235
- F1: 0.8505
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-05
- train_batch_size: 8
- eval_batch_size: 8
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 422 | 0.6813 | 0.3148 |
| 0.6396 | 2.0 | 844 | 0.6553 | 0.4260 |
| 0.6787 | 3.0 | 1266 | 0.5011 | 0.5496 |
| 0.4929 | 4.0 | 1688 | 0.5218 | 0.6561 |
| 0.3969 | 5.0 | 2110 | 0.5235 | 0.8505 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.7.0+cu128
- Datasets 3.5.0
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- May 22, 2025
- Updated
- May 22, 2025