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myrubert-tiny2
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: 2.5315
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- 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 |
|---|---|---|---|
| 2.9811 | 1.0 | 3256 | 2.7239 |
| 2.8416 | 2.0 | 6512 | 2.6383 |
| 2.7507 | 3.0 | 9768 | 2.5872 |
| 2.7067 | 4.0 | 13024 | 2.5523 |
| 2.6846 | 5.0 | 16280 | 2.5315 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Tokenizers 0.13.3
