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---
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_lr5e-05_bs16_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_lr5e-05_bs16_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: 0.1534
- Precision: 0.9532
- Recall: 0.9571
- F1: 0.9552
- Accuracy: 0.9737
## 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: 16
- eval_batch_size: 16
- 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 | 18 | 1.0604 | 0.5553 | 0.4655 | 0.5064 | 0.7578 |
| No log | 2.0 | 36 | 0.5178 | 0.8104 | 0.8049 | 0.8077 | 0.9048 |
| No log | 3.0 | 54 | 0.3230 | 0.9009 | 0.9000 | 0.9005 | 0.9489 |
| No log | 4.0 | 72 | 0.2539 | 0.9277 | 0.9174 | 0.9226 | 0.9594 |
| No log | 5.0 | 90 | 0.2271 | 0.9369 | 0.9324 | 0.9347 | 0.9640 |
| No log | 6.0 | 108 | 0.2010 | 0.9332 | 0.9440 | 0.9386 | 0.9663 |
| No log | 7.0 | 126 | 0.1867 | 0.9425 | 0.9411 | 0.9418 | 0.9690 |
| No log | 8.0 | 144 | 0.1798 | 0.9402 | 0.9411 | 0.9406 | 0.9684 |
| No log | 9.0 | 162 | 0.1824 | 0.9411 | 0.9406 | 0.9408 | 0.9686 |
| No log | 10.0 | 180 | 0.1689 | 0.9500 | 0.9440 | 0.9470 | 0.9711 |
| No log | 11.0 | 198 | 0.1609 | 0.9547 | 0.9474 | 0.9510 | 0.9726 |
| No log | 12.0 | 216 | 0.1543 | 0.9542 | 0.9459 | 0.9500 | 0.9726 |
| No log | 13.0 | 234 | 0.1668 | 0.9503 | 0.9334 | 0.9418 | 0.9678 |
### Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
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