metadata
library_name: transformers
license: apache-2.0
base_model: ania3000/kubert-from_multilingual
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: trainer_output
results: []
trainer_output
This model is a fine-tuned version of ania3000/kubert-from_multilingual on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0092
- Accuracy: 69.0856
- Sentence accuracy: 14.7059
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 25
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Sentence accuracy |
|---|---|---|---|---|---|
| No log | 1.0 | 51 | 2.6089 | 51.0885 | 4.9020 |
| No log | 2.0 | 102 | 2.0624 | 57.9100 | 6.8627 |
| No log | 3.0 | 153 | 1.9063 | 61.9739 | 9.8039 |
| No log | 4.0 | 204 | 1.8096 | 62.9898 | 9.8039 |
| No log | 5.0 | 255 | 1.8159 | 64.0058 | 10.7843 |
| No log | 6.0 | 306 | 1.8145 | 65.4572 | 10.7843 |
| No log | 7.0 | 357 | 1.7694 | 66.9086 | 11.7647 |
| No log | 8.0 | 408 | 1.8472 | 67.6343 | 13.7255 |
| No log | 9.0 | 459 | 1.8234 | 68.7954 | 10.7843 |
| 1.2156 | 10.0 | 510 | 1.8620 | 67.6343 | 16.6667 |
| 1.2156 | 11.0 | 561 | 1.9227 | 68.9405 | 14.7059 |
| 1.2156 | 12.0 | 612 | 1.9168 | 68.9405 | 16.6667 |
| 1.2156 | 13.0 | 663 | 1.9321 | 69.2308 | 15.6863 |
| 1.2156 | 14.0 | 714 | 1.9782 | 68.5051 | 15.6863 |
| 1.2156 | 15.0 | 765 | 2.0042 | 68.7954 | 14.7059 |
| 1.2156 | 16.0 | 816 | 2.0225 | 69.0856 | 13.7255 |
| 1.2156 | 17.0 | 867 | 2.0092 | 69.0856 | 14.7059 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2