update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,71 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
tags:
|
| 4 |
+
- generated_from_trainer
|
| 5 |
+
model-index:
|
| 6 |
+
- name: DISO_bsc_test16
|
| 7 |
+
results: []
|
| 8 |
+
---
|
| 9 |
+
|
| 10 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 11 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 12 |
+
|
| 13 |
+
# DISO_bsc_test16
|
| 14 |
+
|
| 15 |
+
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 the None dataset.
|
| 16 |
+
It achieves the following results on the evaluation set:
|
| 17 |
+
- Loss: 0.1732
|
| 18 |
+
- Diso Precision: 0.7577
|
| 19 |
+
- Diso Recall: 0.7757
|
| 20 |
+
- Diso F1: 0.7666
|
| 21 |
+
- Diso Number: 4552
|
| 22 |
+
- Overall Precision: 0.7577
|
| 23 |
+
- Overall Recall: 0.7757
|
| 24 |
+
- Overall F1: 0.7666
|
| 25 |
+
- Overall Accuracy: 0.9732
|
| 26 |
+
|
| 27 |
+
## Model description
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Intended uses & limitations
|
| 32 |
+
|
| 33 |
+
More information needed
|
| 34 |
+
|
| 35 |
+
## Training and evaluation data
|
| 36 |
+
|
| 37 |
+
More information needed
|
| 38 |
+
|
| 39 |
+
## Training procedure
|
| 40 |
+
|
| 41 |
+
### Training hyperparameters
|
| 42 |
+
|
| 43 |
+
The following hyperparameters were used during training:
|
| 44 |
+
- learning_rate: 8e-05
|
| 45 |
+
- train_batch_size: 16
|
| 46 |
+
- eval_batch_size: 16
|
| 47 |
+
- seed: 42
|
| 48 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 49 |
+
- lr_scheduler_type: linear
|
| 50 |
+
- num_epochs: 8
|
| 51 |
+
|
| 52 |
+
### Training results
|
| 53 |
+
|
| 54 |
+
| Training Loss | Epoch | Step | Validation Loss | Diso Precision | Diso Recall | Diso F1 | Diso Number | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
|
| 55 |
+
|:-------------:|:-----:|:-----:|:---------------:|:--------------:|:-----------:|:-------:|:-----------:|:-----------------:|:--------------:|:----------:|:----------------:|
|
| 56 |
+
| 0.0948 | 1.0 | 1400 | 0.0766 | 0.7157 | 0.7594 | 0.7369 | 4552 | 0.7157 | 0.7594 | 0.7369 | 0.9710 |
|
| 57 |
+
| 0.0631 | 2.0 | 2800 | 0.0818 | 0.7442 | 0.7599 | 0.7520 | 4552 | 0.7442 | 0.7599 | 0.7520 | 0.9726 |
|
| 58 |
+
| 0.0454 | 3.0 | 4200 | 0.0842 | 0.7544 | 0.7654 | 0.7599 | 4552 | 0.7544 | 0.7654 | 0.7599 | 0.9728 |
|
| 59 |
+
| 0.0311 | 4.0 | 5600 | 0.1113 | 0.7678 | 0.7700 | 0.7689 | 4552 | 0.7678 | 0.7700 | 0.7689 | 0.9732 |
|
| 60 |
+
| 0.0217 | 5.0 | 7000 | 0.1231 | 0.7745 | 0.7687 | 0.7716 | 4552 | 0.7745 | 0.7687 | 0.7716 | 0.9743 |
|
| 61 |
+
| 0.015 | 6.0 | 8400 | 0.1482 | 0.7651 | 0.7733 | 0.7691 | 4552 | 0.7651 | 0.7733 | 0.7691 | 0.9735 |
|
| 62 |
+
| 0.0101 | 7.0 | 9800 | 0.1498 | 0.7576 | 0.7709 | 0.7642 | 4552 | 0.7576 | 0.7709 | 0.7642 | 0.9730 |
|
| 63 |
+
| 0.0073 | 8.0 | 11200 | 0.1732 | 0.7577 | 0.7757 | 0.7666 | 4552 | 0.7577 | 0.7757 | 0.7666 | 0.9732 |
|
| 64 |
+
|
| 65 |
+
|
| 66 |
+
### Framework versions
|
| 67 |
+
|
| 68 |
+
- Transformers 4.25.1
|
| 69 |
+
- Pytorch 1.13.0+cu116
|
| 70 |
+
- Datasets 2.8.0
|
| 71 |
+
- Tokenizers 0.13.2
|