---
library_name: transformers
license: mit
base_model: Gherman/bert-base-NER-Russian
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert_base_ner_rus_2e-05_bs4_ep3_span_detection
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert_base_ner_rus_2e-05_bs4_ep3_span_detection

This model is a fine-tuned version of [Gherman/bert-base-NER-Russian](https://huggingface.co/Gherman/bert-base-NER-Russian) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4728
- Precision: 0.6591
- Recall: 0.5538
- F1: 0.6019
- Accuracy: 0.7746

## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.641         | 1.0   | 377  | 0.5038          | 0.6430    | 0.4447 | 0.5258 | 0.7532   |
| 0.5588        | 2.0   | 754  | 0.4863          | 0.7196    | 0.3447 | 0.4661 | 0.7570   |
| 0.4776        | 3.0   | 1131 | 0.4728          | 0.6591    | 0.5538 | 0.6019 | 0.7746   |


### Framework versions

- Transformers 4.47.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1