metadata
license: mit
base_model: cointegrated/rubert-tiny2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: rubert-tiny2-finetuned-classification
results: []
rubert-tiny2-finetuned-classification
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: 0.4803
- Accuracy: 0.8857
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 138 | 0.6689 | 0.8571 |
| No log | 2.0 | 276 | 0.5727 | 0.8653 |
| No log | 3.0 | 414 | 0.5141 | 0.8694 |
| 0.6234 | 4.0 | 552 | 0.4879 | 0.8816 |
| 0.6234 | 5.0 | 690 | 0.4803 | 0.8857 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cpu
- Datasets 2.16.1
- Tokenizers 0.15.0