metadata
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: results
results: []
results
This model is a fine-tuned version of cointegrated/rubert-tiny2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2872
- F1: 0.6095
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 21
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.3356 | 1.0 | 1033 | 0.2558 | 0.3761 |
| 0.2588 | 2.0 | 2066 | 0.2352 | 0.5246 |
| 0.2252 | 3.0 | 3099 | 0.2292 | 0.5996 |
| 0.2044 | 4.0 | 4132 | 0.2417 | 0.5950 |
| 0.189 | 5.0 | 5165 | 0.2433 | 0.6102 |
| 0.1718 | 6.0 | 6198 | 0.2671 | 0.5894 |
| 0.1627 | 7.0 | 7231 | 0.2686 | 0.6319 |
| 0.1513 | 8.0 | 8264 | 0.2779 | 0.6079 |
| 0.1451 | 9.0 | 9297 | 0.2848 | 0.6195 |
| 0.1429 | 10.0 | 10330 | 0.2872 | 0.6095 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2