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update model card README.md

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+ ---
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+ license: cc-by-4.0
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: DISO_SINAI_test1
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+ results: []
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+ ---
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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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+
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+ # DISO_SINAI_test1
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+
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+ This model is a fine-tuned version of [chizhikchi/Spanish_disease_finder](https://huggingface.co/chizhikchi/Spanish_disease_finder) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0807
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+ - Diso Precision: 0.8260
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+ - Diso Recall: 0.8247
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+ - Diso F1: 0.8253
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+ - Diso Number: 4552
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+ - Overall Precision: 0.8260
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+ - Overall Recall: 0.8247
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+ - Overall F1: 0.8253
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+ - Overall Accuracy: 0.9815
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 4
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Diso Precision | Diso Recall | Diso F1 | Diso Number | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------------:|:-----------:|:-------:|:-----------:|:-----------------:|:--------------:|:----------:|:----------------:|
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+ | 0.0629 | 1.0 | 2799 | 0.0573 | 0.8315 | 0.8014 | 0.8162 | 4552 | 0.8315 | 0.8014 | 0.8162 | 0.9813 |
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+ | 0.0429 | 2.0 | 5598 | 0.0622 | 0.8228 | 0.8264 | 0.8246 | 4552 | 0.8228 | 0.8264 | 0.8246 | 0.9815 |
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+ | 0.0299 | 3.0 | 8397 | 0.0689 | 0.8217 | 0.8251 | 0.8234 | 4552 | 0.8217 | 0.8251 | 0.8234 | 0.9814 |
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+ | 0.0214 | 4.0 | 11196 | 0.0807 | 0.8260 | 0.8247 | 0.8253 | 4552 | 0.8260 | 0.8247 | 0.8253 | 0.9815 |
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+
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+
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+ ### Framework versions
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+
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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