metadata
library_name: transformers
license: mit
base_model: seara/rubert-tiny2-russian-sentiment
tags:
- generated_from_trainer
model-index:
- name: rubert-tiny2-russian-sentiment-tuned
results: []
rubert-tiny2-russian-sentiment-tuned
This model is a fine-tuned version of seara/rubert-tiny2-russian-sentiment on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2279
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: 3e-07
- train_batch_size: 32
- eval_batch_size: 32
- 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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2575 | 1.0 | 2961 | 0.2279 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.6.0+cu126
- Datasets 3.2.0
- Tokenizers 0.21.0