metadata
library_name: transformers
license: apache-2.0
base_model: bowphs/GreBerta
tags:
- generated_from_trainer
model-index:
- name: gs-greBERTa
results: []
gs-greBERTa
This model is a fine-tuned version of bowphs/GreBerta on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5878
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 |
|---|---|---|---|
| 1.2756 | 1.0 | 5710 | 0.9367 |
| 0.9522 | 2.0 | 11420 | 0.8217 |
| 0.8493 | 3.0 | 17130 | 0.7453 |
| 0.781 | 4.0 | 22840 | 0.6875 |
| 0.7316 | 5.0 | 28550 | 0.6624 |
| 0.6985 | 6.0 | 34260 | 0.6378 |
| 0.6736 | 7.0 | 39970 | 0.6155 |
| 0.6502 | 8.0 | 45680 | 0.6063 |
| 0.6345 | 9.0 | 51390 | 0.5895 |
| 0.6232 | 10.0 | 57100 | 0.5866 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.7.0+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1