|
|
--- |
|
|
license: apache-2.0 |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
model-index: |
|
|
- name: CTEBMSP_bsc_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_bsc_test |
|
|
|
|
|
This model is a fine-tuned version of [PlanTL-GOB-ES/bsc-bio-ehr-es](https://huggingface.co/PlanTL-GOB-ES/bsc-bio-ehr-es) on an unknown dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.0557 |
|
|
- Diso Precision: 0.8917 |
|
|
- Diso Recall: 0.8968 |
|
|
- Diso F1: 0.8943 |
|
|
- Diso Number: 2645 |
|
|
- Overall Precision: 0.8917 |
|
|
- Overall Recall: 0.8968 |
|
|
- Overall F1: 0.8943 |
|
|
- Overall Accuracy: 0.9898 |
|
|
|
|
|
## 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 | |
|
|
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:-----------:|:-------:|:-----------:|:-----------------:|:--------------:|:----------:|:----------------:| |
|
|
| 0.0382 | 1.0 | 1570 | 0.0421 | 0.8610 | 0.8922 | 0.8763 | 2645 | 0.8610 | 0.8922 | 0.8763 | 0.9880 | |
|
|
| 0.016 | 2.0 | 3140 | 0.0407 | 0.8767 | 0.9009 | 0.8887 | 2645 | 0.8767 | 0.9009 | 0.8887 | 0.9896 | |
|
|
| 0.0066 | 3.0 | 4710 | 0.0485 | 0.8962 | 0.8941 | 0.8952 | 2645 | 0.8962 | 0.8941 | 0.8952 | 0.9900 | |
|
|
| 0.0023 | 4.0 | 6280 | 0.0557 | 0.8917 | 0.8968 | 0.8943 | 2645 | 0.8917 | 0.8968 | 0.8943 | 0.9898 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.25.1 |
|
|
- Pytorch 1.13.0+cu116 |
|
|
- Datasets 2.8.0 |
|
|
- Tokenizers 0.13.2 |
|
|
|
