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DanielNRU/
pollen-ner2-450

Name: pollen-ner2-450
Availability: InStock

peft

safetensors

generated_from_trainer

DeepPavlov/bert-base-bg-cs-pl-ru-cased

adapter

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pollen-ner2-450

This model is a fine-tuned version of DeepPavlov/bert-base-bg-cs-pl-ru-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4605
Precision: 0.4883
Recall: 0.6305
F1: 0.5504

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	57	0.5754	0.4231	0.5361	0.4730
No log	2.0	114	0.5404	0.4237	0.5462	0.4772
No log	3.0	171	0.5230	0.4407	0.5743	0.4987
No log	4.0	228	0.5053	0.4470	0.5843	0.5065
No log	5.0	285	0.4844	0.4619	0.5843	0.5160
No log	6.0	342	0.4810	0.4708	0.6145	0.5331
No log	7.0	399	0.4710	0.4784	0.6225	0.5410
No log	8.0	456	0.4631	0.4822	0.6245	0.5442
0.9019	9.0	513	0.4615	0.4852	0.6265	0.5469
0.9019	10.0	570	0.4605	0.4883	0.6305	0.5504

Framework versions

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

DanielNRU/pollen-ner2-450

pollen-ner2-450

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

DanielNRU/
pollen-ner2-450