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---
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
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
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
| 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 |
### Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
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