---
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: robeczech_lr1e-05_bs4_train287
  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. -->

# robeczech_lr1e-05_bs4_train287

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: 0.1729
- Precision: 0.9536
- Recall: 0.9618
- F1: 0.9577
- Accuracy: 0.9742

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- 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   | 72   | 0.9668          | 0.5829    | 0.5365 | 0.5587 | 0.7878   |
| No log        | 2.0   | 144  | 0.5208          | 0.8484    | 0.8484 | 0.8484 | 0.9221   |
| No log        | 3.0   | 216  | 0.3739          | 0.8830    | 0.8889 | 0.8859 | 0.9410   |
| No log        | 4.0   | 288  | 0.3164          | 0.8919    | 0.8967 | 0.8943 | 0.9464   |
| No log        | 5.0   | 360  | 0.2869          | 0.8939    | 0.8952 | 0.8946 | 0.9466   |
| No log        | 6.0   | 432  | 0.2507          | 0.9135    | 0.9179 | 0.9157 | 0.9565   |
| 0.5681        | 7.0   | 504  | 0.2295          | 0.9278    | 0.9305 | 0.9291 | 0.9623   |
| 0.5681        | 8.0   | 576  | 0.2141          | 0.9301    | 0.9382 | 0.9341 | 0.9648   |
| 0.5681        | 9.0   | 648  | 0.1990          | 0.9404    | 0.9450 | 0.9427 | 0.9688   |
| 0.5681        | 10.0  | 720  | 0.2032          | 0.9316    | 0.9401 | 0.9358 | 0.9655   |
| 0.5681        | 11.0  | 792  | 0.1902          | 0.9430    | 0.9421 | 0.9425 | 0.9688   |
| 0.5681        | 12.0  | 864  | 0.1869          | 0.9416    | 0.9416 | 0.9416 | 0.9680   |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1