metadata
library_name: transformers
license: mit
base_model: cointegrated/rubert-tiny2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ruBertTiny_attr_name_add
results: []
ruBertTiny_attr_name_add
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: 0.3449
- Accuracy: 0.8675
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 |
|---|---|---|---|---|
| 0.5287 | 0.2739 | 10000 | 0.4472 | 0.7949 |
| 0.4568 | 0.5478 | 20000 | 0.4204 | 0.8120 |
| 0.4206 | 0.8217 | 30000 | 0.4116 | 0.7991 |
| 0.3907 | 1.0956 | 40000 | 0.3951 | 0.8291 |
| 0.3641 | 1.3695 | 50000 | 0.3851 | 0.8504 |
| 0.3532 | 1.6434 | 60000 | 0.3576 | 0.8333 |
| 0.3465 | 1.9173 | 70000 | 0.3509 | 0.8504 |
| 0.323 | 2.1912 | 80000 | 0.3523 | 0.8547 |
| 0.3099 | 2.4651 | 90000 | 0.3477 | 0.8632 |
| 0.3102 | 2.7391 | 100000 | 0.3449 | 0.8675 |
Framework versions
- Transformers 4.44.1
- Pytorch 2.0.1+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1