metadata
library_name: peft
base_model: DeepPavlov/rubert-base-cased
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
model-index:
- name: pollen-ner-2000
results: []
pollen-ner-2000
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: 0.1544
- Precision: 0.8772
- Recall: 0.9177
- F1: 0.8970
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 | 250 | 0.1490 | 0.8738 | 0.9177 | 0.8952 |
| 0.1571 | 2.0 | 500 | 0.1544 | 0.8772 | 0.9177 | 0.8970 |
| 0.1571 | 3.0 | 750 | 0.1536 | 0.8738 | 0.9177 | 0.8952 |
| 0.1537 | 4.0 | 1000 | 0.1531 | 0.8714 | 0.9116 | 0.8911 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.7.0+cu128
- Datasets 3.5.0
- Tokenizers 0.21.1