Hugging Face's logo

adigo
/
bert-finetuned-ner

Token Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
adigo commited on
Commit
7f94069
•
1 Parent(s): 2669286

Training complete

Browse files
Files changed (2) hide show
  1. README.md +12 -12
  2. runs/Sep12_06-25-31_a0cdc783c6b5/events.out.tfevents.1726122334.a0cdc783c6b5.576.0 +2 -2
README.md CHANGED
@@ -26,16 +26,16 @@ model-index:
26
  metrics:
27
  - name: Precision
28
  type: precision
29
- value: 0.805952380952381
30
  - name: Recall
31
  type: recall
32
- value: 0.8602287166454892
33
  - name: F1
34
  type: f1
35
- value: 0.8322065150583897
36
  - name: Accuracy
37
  type: accuracy
38
- value: 0.9841520413532671
39
  ---
40
 
41
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -45,11 +45,11 @@ should probably proofread and complete it, then remove this comment. -->
45
 
46
  This model is a fine-tuned version of [emilyalsentzer/Bio_ClinicalBERT](https://huggingface.co/emilyalsentzer/Bio_ClinicalBERT) on the ncbi_disease dataset.
47
  It achieves the following results on the evaluation set:
48
- - Loss: 0.0621
49
- - Precision: 0.8060
50
- - Recall: 0.8602
51
- - F1: 0.8322
52
- - Accuracy: 0.9842
53
 
54
  ## Model description
55
 
@@ -80,9 +80,9 @@ The following hyperparameters were used during training:
80
 
81
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
82
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
83
- | 0.1232 | 1.0 | 680 | 0.0541 | 0.7129 | 0.8234 | 0.7642 | 0.9813 |
84
- | 0.0403 | 2.0 | 1360 | 0.0515 | 0.7887 | 0.8539 | 0.8200 | 0.9842 |
85
- | 0.0142 | 3.0 | 2040 | 0.0621 | 0.8060 | 0.8602 | 0.8322 | 0.9842 |
86
 
87
 
88
  ### Framework versions
 
26
  metrics:
27
  - name: Precision
28
  type: precision
29
+ value: 0.8098676293622142
30
  - name: Recall
31
  type: recall
32
+ value: 0.855146124523507
33
  - name: F1
34
  type: f1
35
+ value: 0.8318912237330038
36
  - name: Accuracy
37
  type: accuracy
38
+ value: 0.9839353700436438
39
  ---
40
 
41
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
45
 
46
  This model is a fine-tuned version of [emilyalsentzer/Bio_ClinicalBERT](https://huggingface.co/emilyalsentzer/Bio_ClinicalBERT) on the ncbi_disease dataset.
47
  It achieves the following results on the evaluation set:
48
+ - Loss: 0.0627
49
+ - Precision: 0.8099
50
+ - Recall: 0.8551
51
+ - F1: 0.8319
52
+ - Accuracy: 0.9839
53
 
54
  ## Model description
55
 
 
80
 
81
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
82
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
83
+ | 0.1222 | 1.0 | 680 | 0.0522 | 0.7460 | 0.8247 | 0.7833 | 0.9828 |
84
+ | 0.0392 | 2.0 | 1360 | 0.0542 | 0.7956 | 0.8361 | 0.8154 | 0.9837 |
85
+ | 0.0149 | 3.0 | 2040 | 0.0627 | 0.8099 | 0.8551 | 0.8319 | 0.9839 |
86
 
87
 
88
  ### Framework versions
runs/Sep12_06-25-31_a0cdc783c6b5/events.out.tfevents.1726122334.a0cdc783c6b5.576.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e8797fad91c48f086547eab6a87512b4453185e06ce2f153af571ab25cf4f475
3
- size 6770
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:01885a954e6bc81f8eddad1c3c116015234771581ddbc120ed7a4069b12e4c0c
3
+ size 7596