metadata
base_model: mor40/BulBERT-chitanka-model
tags:
- generated_from_trainer
model-index:
- name: BulBERT-exams-5epochs
results: []
BulBERT-exams-5epochs
This model is a fine-tuned version of mor40/BulBERT-chitanka-model on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7671
- Acc: 0.7498
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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Acc |
|---|---|---|---|---|
| 0.7342 | 1.0 | 4309 | 0.7328 | 0.7498 |
| 0.6805 | 2.0 | 8618 | 0.7723 | 0.7498 |
| 0.6844 | 3.0 | 12927 | 0.7731 | 0.7498 |
| 0.6748 | 4.0 | 17236 | 0.7608 | 0.7498 |
| 0.6809 | 5.0 | 21545 | 0.7671 | 0.7498 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0