File size: 4,193 Bytes
2bfb51c 2a1d187 2bfb51c 2a1d187 2bfb51c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 |
---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: testlink
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. -->
# testlink
This model is a fine-tuned version of [PlanTL-GOB-ES/bsc-bio-ehr-es-pharmaconer](https://huggingface.co/PlanTL-GOB-ES/bsc-bio-ehr-es-pharmaconer) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2031
- Precision: 0.5065
- Recall: 0.6359
- F1: 0.5639
- Accuracy: 0.9658
## 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: 2.75e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
### Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log | 1.0 | 57 | 0.2133 | 0.0 | 0.0 | 0.0 | 0.9516 |
| No log | 2.0 | 114 | 0.1757 | 0.2 | 0.0163 | 0.0302 | 0.9550 |
| No log | 3.0 | 171 | 0.1591 | 0.2893 | 0.1902 | 0.2295 | 0.9535 |
| No log | 4.0 | 228 | 0.1386 | 0.3433 | 0.25 | 0.2893 | 0.9582 |
| No log | 5.0 | 285 | 0.1349 | 0.4345 | 0.3967 | 0.4148 | 0.9600 |
| No log | 6.0 | 342 | 0.1311 | 0.5352 | 0.4130 | 0.4663 | 0.9646 |
| No log | 7.0 | 399 | 0.1402 | 0.4264 | 0.5978 | 0.4977 | 0.9590 |
| No log | 8.0 | 456 | 0.1377 | 0.4858 | 0.5598 | 0.5202 | 0.9634 |
| 0.1282 | 9.0 | 513 | 0.1539 | 0.5226 | 0.4402 | 0.4779 | 0.9651 |
| 0.1282 | 10.0 | 570 | 0.1631 | 0.4597 | 0.6196 | 0.5278 | 0.9607 |
| 0.1282 | 11.0 | 627 | 0.1511 | 0.5333 | 0.4783 | 0.5043 | 0.9666 |
| 0.1282 | 12.0 | 684 | 0.1705 | 0.4690 | 0.5761 | 0.5171 | 0.9626 |
| 0.1282 | 13.0 | 741 | 0.1760 | 0.5138 | 0.5054 | 0.5096 | 0.9651 |
| 0.1282 | 14.0 | 798 | 0.1917 | 0.4296 | 0.6630 | 0.5214 | 0.9580 |
| 0.1282 | 15.0 | 855 | 0.1833 | 0.4563 | 0.625 | 0.5275 | 0.9619 |
| 0.1282 | 16.0 | 912 | 0.1887 | 0.4933 | 0.6033 | 0.5428 | 0.9638 |
| 0.1282 | 17.0 | 969 | 0.1723 | 0.5138 | 0.6087 | 0.5572 | 0.9659 |
| 0.0102 | 18.0 | 1026 | 0.1849 | 0.5022 | 0.6196 | 0.5547 | 0.9649 |
| 0.0102 | 19.0 | 1083 | 0.1773 | 0.5352 | 0.6196 | 0.5743 | 0.9676 |
| 0.0102 | 20.0 | 1140 | 0.1945 | 0.4957 | 0.6304 | 0.5550 | 0.9646 |
| 0.0102 | 21.0 | 1197 | 0.1967 | 0.4756 | 0.6359 | 0.5442 | 0.9634 |
| 0.0102 | 22.0 | 1254 | 0.1876 | 0.4978 | 0.6087 | 0.5477 | 0.9658 |
| 0.0102 | 23.0 | 1311 | 0.1935 | 0.4978 | 0.6087 | 0.5477 | 0.9656 |
| 0.0102 | 24.0 | 1368 | 0.1930 | 0.5256 | 0.6141 | 0.5664 | 0.9671 |
| 0.0102 | 25.0 | 1425 | 0.1945 | 0.5110 | 0.6304 | 0.5645 | 0.9661 |
| 0.0102 | 26.0 | 1482 | 0.1955 | 0.5283 | 0.6087 | 0.5657 | 0.9673 |
| 0.0023 | 27.0 | 1539 | 0.2017 | 0.5043 | 0.6359 | 0.5625 | 0.9654 |
| 0.0023 | 28.0 | 1596 | 0.2010 | 0.5088 | 0.6304 | 0.5631 | 0.9659 |
| 0.0023 | 29.0 | 1653 | 0.2019 | 0.5088 | 0.6304 | 0.5631 | 0.9659 |
| 0.0023 | 30.0 | 1710 | 0.2031 | 0.5065 | 0.6359 | 0.5639 | 0.9658 |
### Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
|