pollen-ner-150
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: 1.7104
- Precision: 0.0045
- Recall: 0.0020
- F1: 0.0028
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
|---|---|---|---|---|---|---|
| No log | 1.0 | 19 | 1.7104 | 0.0045 | 0.0020 | 0.0028 |
| No log | 2.0 | 38 | 1.3578 | 0.0 | 0.0 | 0.0 |
| No log | 3.0 | 57 | 1.1513 | 0.0 | 0.0 | 0.0 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.7.0+cu128
- Datasets 3.5.0
- Tokenizers 0.21.1
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Model tree for DanielNRU/pollen-ner-150
Base model
DeepPavlov/rubert-base-cased