---
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: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# trainer_output

This model is a fine-tuned version of [ufal/robeczech-base](https://huggingface.co/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