metadata
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: RU_21042_41
results: []
RU_21042_41
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.4379
- Accuracy: 0.2986
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: 0.0006
- train_batch_size: 32
- eval_batch_size: 32
- seed: 41
- 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
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 894 | 5.8006 | 0.1827 |
| 1.4587 | 2.0 | 1788 | 5.3948 | 0.2003 |
| 1.2604 | 3.0 | 2682 | 5.0759 | 0.2316 |
| 1.1611 | 4.0 | 3576 | 4.8898 | 0.2487 |
| 1.1035 | 5.0 | 4470 | 4.7652 | 0.2602 |
| 1.0629 | 6.0 | 5364 | 4.6752 | 0.2719 |
| 1.0269 | 7.0 | 6258 | 4.5901 | 0.2792 |
| 0.9986 | 8.0 | 7152 | 4.5173 | 0.2880 |
| 0.9729 | 9.0 | 8046 | 4.4658 | 0.2945 |
| 0.9729 | 10.0 | 8940 | 4.4379 | 0.2986 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1