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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: trainer_output |
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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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# trainer_output |
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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: 0.1311 |
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- Precision: 0.9525 |
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- Recall: 0.9664 |
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- F1: 0.9594 |
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- Accuracy: 0.9755 |
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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: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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 | 36 | 0.6632 | 0.7342 | 0.7161 | 0.7250 | 0.8684 | |
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| No log | 2.0 | 72 | 0.3053 | 0.8813 | 0.8962 | 0.8887 | 0.9435 | |
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| No log | 3.0 | 108 | 0.2345 | 0.9286 | 0.9174 | 0.9230 | 0.9594 | |
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| No log | 4.0 | 144 | 0.1869 | 0.9350 | 0.9377 | 0.9364 | 0.9663 | |
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| No log | 5.0 | 180 | 0.1581 | 0.9459 | 0.9459 | 0.9459 | 0.9701 | |
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| No log | 6.0 | 216 | 0.1654 | 0.9353 | 0.9430 | 0.9392 | 0.9678 | |
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| No log | 7.0 | 252 | 0.1515 | 0.9439 | 0.9507 | 0.9473 | 0.9707 | |
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| No log | 8.0 | 288 | 0.1396 | 0.9471 | 0.9590 | 0.9530 | 0.9730 | |
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| No log | 9.0 | 324 | 0.1487 | 0.9426 | 0.9440 | 0.9433 | 0.9701 | |
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| No log | 10.0 | 360 | 0.1610 | 0.9395 | 0.9450 | 0.9422 | 0.9686 | |
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| No log | 11.0 | 396 | 0.1345 | 0.9556 | 0.9561 | 0.9558 | 0.9753 | |
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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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