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--- |
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library_name: transformers |
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license: cc-by-nc-sa-4.0 |
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base_model: ufal/robeczech-base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- precision |
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- recall |
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- f1 |
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- accuracy |
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model-index: |
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- name: robeczech_lr1e-05_bs4_train287 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# robeczech_lr1e-05_bs4_train287 |
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This model is a fine-tuned version of [ufal/robeczech-base](https://huggingface.co/ufal/robeczech-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1729 |
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- Precision: 0.9536 |
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- Recall: 0.9618 |
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- F1: 0.9577 |
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- Accuracy: 0.9742 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 30 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
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| No log | 1.0 | 72 | 0.9668 | 0.5829 | 0.5365 | 0.5587 | 0.7878 | |
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| No log | 2.0 | 144 | 0.5208 | 0.8484 | 0.8484 | 0.8484 | 0.9221 | |
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| No log | 3.0 | 216 | 0.3739 | 0.8830 | 0.8889 | 0.8859 | 0.9410 | |
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| No log | 4.0 | 288 | 0.3164 | 0.8919 | 0.8967 | 0.8943 | 0.9464 | |
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| No log | 5.0 | 360 | 0.2869 | 0.8939 | 0.8952 | 0.8946 | 0.9466 | |
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| No log | 6.0 | 432 | 0.2507 | 0.9135 | 0.9179 | 0.9157 | 0.9565 | |
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| 0.5681 | 7.0 | 504 | 0.2295 | 0.9278 | 0.9305 | 0.9291 | 0.9623 | |
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| 0.5681 | 8.0 | 576 | 0.2141 | 0.9301 | 0.9382 | 0.9341 | 0.9648 | |
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| 0.5681 | 9.0 | 648 | 0.1990 | 0.9404 | 0.9450 | 0.9427 | 0.9688 | |
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| 0.5681 | 10.0 | 720 | 0.2032 | 0.9316 | 0.9401 | 0.9358 | 0.9655 | |
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| 0.5681 | 11.0 | 792 | 0.1902 | 0.9430 | 0.9421 | 0.9425 | 0.9688 | |
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| 0.5681 | 12.0 | 864 | 0.1869 | 0.9416 | 0.9416 | 0.9416 | 0.9680 | |
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### Framework versions |
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- Transformers 4.51.3 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.5.0 |
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- Tokenizers 0.21.1 |
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