pollen-ner-50

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: 2.1836
• Precision: 0.0137
• Recall: 0.0592
• F1: 0.0222
• Accuracy: 0.2932

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: 16
• eval_batch_size: 16
• 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: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	4	2.2461	0.0133	0.0653	0.0221	0.2200
No log	2.0	8	2.1836	0.0137	0.0592	0.0222	0.2932
No log	3.0	12	2.1217	0.0126	0.0469	0.0199	0.3657
No log	4.0	16	2.0624	0.0126	0.0388	0.0191	0.4374

Framework versions

• PEFT 0.15.2
• Transformers 4.51.3
• Pytorch 2.7.0+cu128
• Datasets 3.5.0
• Tokenizers 0.21.1