metadata
library_name: transformers
license: cc-by-nc-sa-4.0
base_model: ufal/robeczech-base
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: trainer_output
results: []
trainer_output
This model is a fine-tuned version of ufal/robeczech-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1311
- Precision: 0.9525
- Recall: 0.9664
- F1: 0.9594
- Accuracy: 0.9755
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 with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 36 | 0.6632 | 0.7342 | 0.7161 | 0.7250 | 0.8684 |
| No log | 2.0 | 72 | 0.3053 | 0.8813 | 0.8962 | 0.8887 | 0.9435 |
| No log | 3.0 | 108 | 0.2345 | 0.9286 | 0.9174 | 0.9230 | 0.9594 |
| No log | 4.0 | 144 | 0.1869 | 0.9350 | 0.9377 | 0.9364 | 0.9663 |
| No log | 5.0 | 180 | 0.1581 | 0.9459 | 0.9459 | 0.9459 | 0.9701 |
| No log | 6.0 | 216 | 0.1654 | 0.9353 | 0.9430 | 0.9392 | 0.9678 |
| No log | 7.0 | 252 | 0.1515 | 0.9439 | 0.9507 | 0.9473 | 0.9707 |
| No log | 8.0 | 288 | 0.1396 | 0.9471 | 0.9590 | 0.9530 | 0.9730 |
| No log | 9.0 | 324 | 0.1487 | 0.9426 | 0.9440 | 0.9433 | 0.9701 |
| No log | 10.0 | 360 | 0.1610 | 0.9395 | 0.9450 | 0.9422 | 0.9686 |
| No log | 11.0 | 396 | 0.1345 | 0.9556 | 0.9561 | 0.9558 | 0.9753 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1