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: tmvar_5e-05_250
|
7 |
results: []
|
@@ -12,7 +17,13 @@ should probably proofread and complete it, then remove this comment. -->
|
|
12 |
|
13 |
# tmvar_5e-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 +50,26 @@ 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: tmvar_5e-05_250
|
12 |
results: []
|
|
|
17 |
|
18 |
# tmvar_5e-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: 0.0104
|
23 |
+
- Precision: 0.8718
|
24 |
+
- Recall: 0.9189
|
25 |
+
- F1: 0.8947
|
26 |
+
- Accuracy: 0.9977
|
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 |
+
| 0.2897 | 1.0 | 25 | 0.0896 | 0.0 | 0.0 | 0.0 | 0.9858 |
|
58 |
+
| 0.0759 | 2.0 | 50 | 0.0302 | 0.5522 | 0.4 | 0.4639 | 0.9898 |
|
59 |
+
| 0.0347 | 3.0 | 75 | 0.0175 | 0.6789 | 0.6973 | 0.688 | 0.9945 |
|
60 |
+
| 0.0174 | 4.0 | 100 | 0.0133 | 0.76 | 0.8216 | 0.7896 | 0.9962 |
|
61 |
+
| 0.0084 | 5.0 | 125 | 0.0125 | 0.805 | 0.8703 | 0.8364 | 0.9967 |
|
62 |
+
| 0.0048 | 6.0 | 150 | 0.0090 | 0.8859 | 0.8811 | 0.8835 | 0.9977 |
|
63 |
+
| 0.0025 | 7.0 | 175 | 0.0097 | 0.8382 | 0.9243 | 0.8792 | 0.9977 |
|
64 |
+
| 0.0017 | 8.0 | 200 | 0.0089 | 0.8529 | 0.9405 | 0.8946 | 0.9980 |
|
65 |
+
| 0.0015 | 9.0 | 225 | 0.0099 | 0.8357 | 0.9351 | 0.8827 | 0.9979 |
|
66 |
+
| 0.0012 | 10.0 | 250 | 0.0104 | 0.8522 | 0.9351 | 0.8918 | 0.9979 |
|
67 |
+
| 0.0011 | 11.0 | 275 | 0.0104 | 0.8798 | 0.8703 | 0.875 | 0.9972 |
|
68 |
+
| 0.0009 | 12.0 | 300 | 0.0098 | 0.8718 | 0.9189 | 0.8947 | 0.9977 |
|
69 |
+
| 0.0007 | 13.0 | 325 | 0.0100 | 0.8718 | 0.9189 | 0.8947 | 0.9977 |
|
70 |
+
| 0.0006 | 14.0 | 350 | 0.0104 | 0.8718 | 0.9189 | 0.8947 | 0.9977 |
|
71 |
+
|
72 |
+
|
73 |
### Framework versions
|
74 |
|
75 |
- Transformers 4.27.4
|