---
base_model: mor40/BulBERT-chitanka-model
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: BulBERT-ner-wikiann
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# BulBERT-ner-wikiann

This model is a fine-tuned version of [mor40/BulBERT-chitanka-model](https://huggingface.co/mor40/BulBERT-chitanka-model) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2787
- Precision: 0.8050
- Recall: 0.8556
- F1: 0.8296
- Accuracy: 0.9446

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.2436        | 1.0   | 2030  | 0.2391          | 0.7289    | 0.8071 | 0.7660 | 0.9284   |
| 0.1601        | 2.0   | 4060  | 0.2230          | 0.7698    | 0.8328 | 0.8001 | 0.9380   |
| 0.102         | 3.0   | 6090  | 0.2441          | 0.7962    | 0.8444 | 0.8196 | 0.9431   |
| 0.0707        | 4.0   | 8120  | 0.2643          | 0.7998    | 0.8533 | 0.8257 | 0.9444   |
| 0.0542        | 5.0   | 10150 | 0.2787          | 0.8050    | 0.8556 | 0.8296 | 0.9446   |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1