---
base_model: mor40/BulBERT-chitanka-model
tags:
- generated_from_trainer
datasets:
- bgglue
model-index:
- name: BulBERT-exams-5epochs
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# BulBERT-exams-5epochs

This model is a fine-tuned version of [mor40/BulBERT-chitanka-model](https://huggingface.co/mor40/BulBERT-chitanka-model) on the bgglue dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9622
- Acc: 0.2946

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Acc    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 1.0207        | 1.0   | 2538  | 1.9309          | 0.3004 |
| 0.9505        | 2.0   | 5076  | 2.7472          | 0.2750 |
| 0.9552        | 3.0   | 7614  | 2.7331          | 0.2913 |
| 0.9126        | 4.0   | 10152 | 2.8254          | 0.2798 |
| 0.8957        | 5.0   | 12690 | 2.9622          | 0.2946 |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1