|
--- |
|
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 |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# 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 |
|
|
