metadata
license: cc-by-sa-4.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: SloBertAA_Top100_WithoutOOC_NEW
results: []
SloBertAA_Top100_WithoutOOC_NEW
This model is a fine-tuned version of EMBEDDIA/sloberta on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0981
- Accuracy: 0.7502
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: 2e-05
- train_batch_size: 12
- eval_batch_size: 12
- 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 | Accuracy |
|---|---|---|---|---|
| 1.3593 | 1.0 | 44675 | 1.3079 | 0.6667 |
| 1.0536 | 2.0 | 89350 | 1.1275 | 0.7125 |
| 0.8195 | 3.0 | 134025 | 1.0739 | 0.7319 |
| 0.5844 | 4.0 | 178700 | 1.0525 | 0.7484 |
| 0.4438 | 5.0 | 223375 | 1.0981 | 0.7502 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.8.0
- Datasets 2.10.1
- Tokenizers 0.13.2