update model card README.md
Browse files
README.md
CHANGED
|
@@ -2,6 +2,11 @@
|
|
| 2 |
license: mit
|
| 3 |
tags:
|
| 4 |
- generated_from_trainer
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 5 |
model-index:
|
| 6 |
- name: Yepes_2e-05_250
|
| 7 |
results: []
|
|
@@ -12,7 +17,13 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 12 |
|
| 13 |
# Yepes_2e-05_250
|
| 14 |
|
| 15 |
-
This model is a fine-tuned version of [microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext](https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext) on
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 16 |
|
| 17 |
## Model description
|
| 18 |
|
|
@@ -39,6 +50,30 @@ The following hyperparameters were used during training:
|
|
| 39 |
- lr_scheduler_type: linear
|
| 40 |
- training_steps: 500
|
| 41 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 42 |
### Framework versions
|
| 43 |
|
| 44 |
- Transformers 4.27.4
|
|
|
|
| 2 |
license: mit
|
| 3 |
tags:
|
| 4 |
- generated_from_trainer
|
| 5 |
+
metrics:
|
| 6 |
+
- precision
|
| 7 |
+
- recall
|
| 8 |
+
- f1
|
| 9 |
+
- accuracy
|
| 10 |
model-index:
|
| 11 |
- name: Yepes_2e-05_250
|
| 12 |
results: []
|
|
|
|
| 17 |
|
| 18 |
# Yepes_2e-05_250
|
| 19 |
|
| 20 |
+
This model is a fine-tuned version of [microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext](https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext) on the None dataset.
|
| 21 |
+
It achieves the following results on the evaluation set:
|
| 22 |
+
- Loss: 0.1279
|
| 23 |
+
- Precision: 0.6833
|
| 24 |
+
- Recall: 0.5100
|
| 25 |
+
- F1: 0.5840
|
| 26 |
+
- Accuracy: 0.9788
|
| 27 |
|
| 28 |
## Model description
|
| 29 |
|
|
|
|
| 50 |
- lr_scheduler_type: linear
|
| 51 |
- training_steps: 500
|
| 52 |
|
| 53 |
+
### Training results
|
| 54 |
+
|
| 55 |
+
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|
| 56 |
+
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
|
| 57 |
+
| 0.8467 | 1.39 | 25 | 0.2149 | 0.0 | 0.0 | 0.0 | 0.9672 |
|
| 58 |
+
| 0.1988 | 2.78 | 50 | 0.1959 | 0.0 | 0.0 | 0.0 | 0.9672 |
|
| 59 |
+
| 0.156 | 4.17 | 75 | 0.1439 | 0.3268 | 0.2065 | 0.2530 | 0.9691 |
|
| 60 |
+
| 0.1128 | 5.56 | 100 | 0.1324 | 0.49 | 0.2438 | 0.3256 | 0.9730 |
|
| 61 |
+
| 0.0978 | 6.94 | 125 | 0.1222 | 0.4964 | 0.3433 | 0.4059 | 0.9747 |
|
| 62 |
+
| 0.0788 | 8.33 | 150 | 0.1154 | 0.5193 | 0.3682 | 0.4309 | 0.9760 |
|
| 63 |
+
| 0.067 | 9.72 | 175 | 0.1162 | 0.4711 | 0.3856 | 0.4241 | 0.9749 |
|
| 64 |
+
| 0.058 | 11.11 | 200 | 0.1236 | 0.5275 | 0.3582 | 0.4267 | 0.9761 |
|
| 65 |
+
| 0.0491 | 12.5 | 225 | 0.1177 | 0.4940 | 0.4104 | 0.4484 | 0.9754 |
|
| 66 |
+
| 0.0443 | 13.89 | 250 | 0.1235 | 0.5472 | 0.4179 | 0.4739 | 0.9767 |
|
| 67 |
+
| 0.0383 | 15.28 | 275 | 0.1198 | 0.5764 | 0.4502 | 0.5056 | 0.9770 |
|
| 68 |
+
| 0.0369 | 16.67 | 300 | 0.1219 | 0.5892 | 0.4602 | 0.5168 | 0.9776 |
|
| 69 |
+
| 0.0326 | 18.06 | 325 | 0.1261 | 0.7 | 0.4701 | 0.5625 | 0.9790 |
|
| 70 |
+
| 0.0305 | 19.44 | 350 | 0.1269 | 0.6904 | 0.4826 | 0.5681 | 0.9787 |
|
| 71 |
+
| 0.0269 | 20.83 | 375 | 0.1252 | 0.6656 | 0.5 | 0.5710 | 0.9783 |
|
| 72 |
+
| 0.025 | 22.22 | 400 | 0.1253 | 0.6529 | 0.5100 | 0.5726 | 0.9782 |
|
| 73 |
+
| 0.0244 | 23.61 | 425 | 0.1284 | 0.6875 | 0.4925 | 0.5739 | 0.9790 |
|
| 74 |
+
| 0.0224 | 25.0 | 450 | 0.1279 | 0.6833 | 0.5100 | 0.5840 | 0.9788 |
|
| 75 |
+
|
| 76 |
+
|
| 77 |
### Framework versions
|
| 78 |
|
| 79 |
- Transformers 4.27.4
|