| --- |
| license: cc-by-4.0 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: DISO_SINAI_test1 |
| 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. --> |
|
|
| # DISO_SINAI_test1 |
|
|
| This model is a fine-tuned version of [chizhikchi/Spanish_disease_finder](https://huggingface.co/chizhikchi/Spanish_disease_finder) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0807 |
| - Diso Precision: 0.8260 |
| - Diso Recall: 0.8247 |
| - Diso F1: 0.8253 |
| - Diso Number: 4552 |
| - Overall Precision: 0.8260 |
| - Overall Recall: 0.8247 |
| - Overall F1: 0.8253 |
| - Overall Accuracy: 0.9815 |
|
|
| ## 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: |
| - learning_rate: 2e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 4 |
|
|
| ### Training results |
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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 | |
| |:-------------:|:-----:|:-----:|:---------------:|:--------------:|:-----------:|:-------:|:-----------:|:-----------------:|:--------------:|:----------:|:----------------:| |
| | 0.0629 | 1.0 | 2799 | 0.0573 | 0.8315 | 0.8014 | 0.8162 | 4552 | 0.8315 | 0.8014 | 0.8162 | 0.9813 | |
| | 0.0429 | 2.0 | 5598 | 0.0622 | 0.8228 | 0.8264 | 0.8246 | 4552 | 0.8228 | 0.8264 | 0.8246 | 0.9815 | |
| | 0.0299 | 3.0 | 8397 | 0.0689 | 0.8217 | 0.8251 | 0.8234 | 4552 | 0.8217 | 0.8251 | 0.8234 | 0.9814 | |
| | 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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| ### Framework versions |
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|
| - Transformers 4.25.1 |
| - Pytorch 1.13.0+cu116 |
| - Datasets 2.8.0 |
| - Tokenizers 0.13.2 |
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|
