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# BulBERT-exams-3epochs_dp_dc

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: 1.2057
- Acc: 0.6734

## 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: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Acc    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.5669        | 1.0   | 4309  | 0.5627          | 0.7498 |
| 0.4551        | 2.0   | 8618  | 0.8593          | 0.6962 |
| 0.3632        | 3.0   | 12927 | 1.2057          | 0.6734 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "base_model": "mor40/BulBERT-chitanka-model", "model-index": [{"name": "BulBERT-exams-3epochs_dp_dc", "results": []}]}
transformers tensorboard safetensors bert text-classification generated_from_trainer base_model:mor40/BulBERT-chitanka-model autotrain_compatible endpoints_compatible region:us