metadata
library_name: transformers
license: mit
base_model: cointegrated/rubert-tiny
tags:
- generated_from_trainer
model-index:
- name: rubert-tiny-antispam
results: []
rubert-tiny-antispam
This model is a fine-tuned version of cointegrated/rubert-tiny on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.7633
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2986 | 1.0 | 10502 | 3.8921 |
| 0.263 | 2.0 | 21004 | 4.2857 |
| 0.2168 | 3.0 | 31506 | 4.7633 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3