metadata
library_name: transformers
license: mit
base_model: cointegrated/rubert-tiny2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ruBertTiny_attr
results: []
ruBertTiny_attr
This model is a fine-tuned version of cointegrated/rubert-tiny2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3646
- Accuracy: 0.8333
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.535 | 0.2739 | 10000 | 0.4769 | 0.7607 |
| 0.4716 | 0.5478 | 20000 | 0.4518 | 0.7906 |
| 0.445 | 0.8217 | 30000 | 0.4550 | 0.7906 |
| 0.422 | 1.0956 | 40000 | 0.4331 | 0.8034 |
| 0.4017 | 1.3695 | 50000 | 0.3964 | 0.8291 |
| 0.3919 | 1.6434 | 60000 | 0.3904 | 0.8205 |
| 0.3862 | 1.9173 | 70000 | 0.3772 | 0.8162 |
| 0.3665 | 2.1912 | 80000 | 0.3819 | 0.8291 |
| 0.3553 | 2.4651 | 90000 | 0.3730 | 0.8248 |
| 0.3555 | 2.7391 | 100000 | 0.3646 | 0.8333 |
Framework versions
- Transformers 4.44.1
- Pytorch 2.0.1+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1