rubert-tiny2-finetuned-imdb
This model is a fine-tuned version of cointegrated/rubert-tiny2 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 6.0142
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.4078 | 1.0 | 1563 | 6.1208 |
| 6.1804 | 2.0 | 3126 | 6.0142 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for Pastushoc/rubert-tiny2-finetuned-imdb
Base model
cointegrated/rubert-tiny2