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--- |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: robertuito-base-cased |
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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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# robertuito-base-cased |
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This model was trained from scratch on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3006 |
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- Accuracy: 0.9738 |
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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: 2e-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: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
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| 0.2557 | 1.0 | 3611 | 0.2650 | 0.9383 | |
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| 0.1543 | 2.0 | 7222 | 0.1762 | 0.9632 | |
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| 0.0792 | 3.0 | 10833 | 0.1959 | 0.9601 | |
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| 0.0565 | 4.0 | 14444 | 0.2106 | 0.9670 | |
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| 0.0507 | 5.0 | 18055 | 0.2597 | 0.9664 | |
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| 0.0297 | 6.0 | 21666 | 0.2761 | 0.9688 | |
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| 0.0531 | 7.0 | 25277 | 0.2336 | 0.9514 | |
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| 0.166 | 8.0 | 28888 | 0.2249 | 0.9688 | |
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| 0.0112 | 9.0 | 32499 | 0.2416 | 0.9720 | |
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| 0.0129 | 10.0 | 36110 | 0.2840 | 0.9713 | |
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| 0.0041 | 11.0 | 39721 | 0.2673 | 0.9695 | |
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| 0.0023 | 12.0 | 43332 | 0.3371 | 0.9664 | |
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| 0.0022 | 13.0 | 46943 | 0.3109 | 0.9688 | |
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| 0.0023 | 14.0 | 50554 | 0.2464 | 0.9757 | |
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| 0.0042 | 15.0 | 54165 | 0.3368 | 0.9688 | |
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| 0.001 | 16.0 | 57776 | 0.2903 | 0.9726 | |
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| 0.001 | 17.0 | 61387 | 0.3165 | 0.9707 | |
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| 0.0006 | 18.0 | 64998 | 0.2619 | 0.9769 | |
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| 0.0 | 19.0 | 68609 | 0.3053 | 0.9732 | |
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| 0.0 | 20.0 | 72220 | 0.3001 | 0.9745 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.13.0+cu116 |
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- Datasets 2.8.0 |
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- Tokenizers 0.13.2 |
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