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---
license: cc-by-4.0
tags:
- generated_from_trainer
model-index:
- name: CTEBMSP_ner_test
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. -->
# CTEBMSP_ner_test
This model is a fine-tuned version of [chizhikchi/Spanish_disease_finder](https://huggingface.co/chizhikchi/Spanish_disease_finder) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0560
- Diso Precision: 0.8925
- Diso Recall: 0.8945
- Diso F1: 0.8935
- Diso Number: 2645
- Overall Precision: 0.8925
- Overall Recall: 0.8945
- Overall F1: 0.8935
- Overall Accuracy: 0.9899
## 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: 4e-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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:-----------:|:-------:|:-----------:|:-----------------:|:--------------:|:----------:|:----------------:|
| 0.04 | 1.0 | 1570 | 0.0439 | 0.8410 | 0.8858 | 0.8628 | 2645 | 0.8410 | 0.8858 | 0.8628 | 0.9877 |
| 0.0173 | 2.0 | 3140 | 0.0487 | 0.8728 | 0.8843 | 0.8785 | 2645 | 0.8728 | 0.8843 | 0.8785 | 0.9885 |
| 0.0071 | 3.0 | 4710 | 0.0496 | 0.8911 | 0.8945 | 0.8928 | 2645 | 0.8911 | 0.8945 | 0.8928 | 0.9898 |
| 0.0025 | 4.0 | 6280 | 0.0560 | 0.8925 | 0.8945 | 0.8935 | 2645 | 0.8925 | 0.8945 | 0.8935 | 0.9899 |
### Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
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