metadata
library_name: transformers
base_model: cabrooks/LOGION-50k_wordpiece
tags:
- generated_from_trainer
model-index:
- name: gs-Logion
results: []
gs-Logion
This model is a fine-tuned version of cabrooks/LOGION-50k_wordpiece on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.5408
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: 4e-05
- train_batch_size: 16
- 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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.7164 | 1.0 | 1945 | 3.2547 |
| 3.1887 | 2.0 | 3890 | 3.0060 |
| 2.9816 | 3.0 | 5835 | 2.8557 |
| 2.8566 | 4.0 | 7780 | 2.7777 |
| 2.7497 | 5.0 | 9725 | 2.7062 |
| 2.6705 | 6.0 | 11670 | 2.6446 |
| 2.6134 | 7.0 | 13615 | 2.6067 |
| 2.5566 | 8.0 | 15560 | 2.5568 |
| 2.5294 | 9.0 | 17505 | 2.5612 |
| 2.5018 | 10.0 | 19450 | 2.5244 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.7.0+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1