Hugging Face's logo

blizrys
/
BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext-finetuned-pubmedqa

Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
1
blizrys commited on
Commit
bb6bc4c
•
1 Parent(s): e020312

BATCH_SIZE=8

Browse files

LEARNING_RATE=1e-05
MAX_LENGTH=512
FOLD=6

Files changed (6) hide show
  1. README.md +13 -13
  2. pytorch_model.bin +1 -1
  3. runs/Sep15_03-01-40_c86ef10ea4b0/events.out.tfevents.1631675696.c86ef10ea4b0.88.17 +3 -0
  4. runs/Sep15_03-15-04_c86ef10ea4b0/1631675710.6826565/events.out.tfevents.1631675710.c86ef10ea4b0.88.19 +3 -0
  5. runs/Sep15_03-15-04_c86ef10ea4b0/events.out.tfevents.1631675710.c86ef10ea4b0.88.18 +3 -0
  6. training_args.bin +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ model-index:
15
  metrics:
16
  - name: Accuracy
17
  type: accuracy
18
- value: 0.76
19
  ---
20
 
21
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -25,8 +25,8 @@ should probably proofread and complete it, then remove this comment. -->
25
 
26
  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.
27
  It achieves the following results on the evaluation set:
28
- - Loss: 0.6502
29
- - Accuracy: 0.76
30
 
31
  ## Model description
32
 
@@ -57,16 +57,16 @@ The following hyperparameters were used during training:
57
 
58
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
59
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
60
- | No log | 1.0 | 57 | 0.9334 | 0.56 |
61
- | No log | 2.0 | 114 | 0.8712 | 0.64 |
62
- | No log | 3.0 | 171 | 0.7688 | 0.62 |
63
- | No log | 4.0 | 228 | 0.7495 | 0.7 |
64
- | No log | 5.0 | 285 | 0.6666 | 0.74 |
65
- | No log | 6.0 | 342 | 0.6507 | 0.74 |
66
- | No log | 7.0 | 399 | 0.6458 | 0.76 |
67
- | No log | 8.0 | 456 | 0.6773 | 0.74 |
68
- | 0.5995 | 9.0 | 513 | 0.6530 | 0.76 |
69
- | 0.5995 | 10.0 | 570 | 0.6502 | 0.76 |
70
 
71
 
72
  ### Framework versions
 
15
  metrics:
16
  - name: Accuracy
17
  type: accuracy
18
+ value: 0.72
19
  ---
20
 
21
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
25
 
26
  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.
27
  It achieves the following results on the evaluation set:
28
+ - Loss: 0.7971
29
+ - Accuracy: 0.72
30
 
31
  ## Model description
32
 
 
57
 
58
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
59
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
60
+ | No log | 1.0 | 57 | 0.9378 | 0.56 |
61
+ | No log | 2.0 | 114 | 0.9198 | 0.56 |
62
+ | No log | 3.0 | 171 | 0.8881 | 0.62 |
63
+ | No log | 4.0 | 228 | 0.8331 | 0.62 |
64
+ | No log | 5.0 | 285 | 0.7817 | 0.7 |
65
+ | No log | 6.0 | 342 | 0.7685 | 0.72 |
66
+ | No log | 7.0 | 399 | 0.7755 | 0.72 |
67
+ | No log | 8.0 | 456 | 0.7867 | 0.72 |
68
+ | 0.6259 | 9.0 | 513 | 0.7955 | 0.74 |
69
+ | 0.6259 | 10.0 | 570 | 0.7971 | 0.72 |
70
 
71
 
72
  ### Framework versions
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e5f26855ef842e5ddc94fc8e8aa42dd6117cbee08646d4d0aca00a1795136301
3
  size 438022317
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c197434e3b58004a6cbe9665e1e3d25d63bcab7ad1ebd9cf31c4788486483a8f
3
  size 438022317
runs/Sep15_03-01-40_c86ef10ea4b0/events.out.tfevents.1631675696.c86ef10ea4b0.88.17 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:929232e1ca70adac6a209295abfe44f8657933e48c430bbe3e92a0f0f46d60e6
3
+ size 363
runs/Sep15_03-15-04_c86ef10ea4b0/1631675710.6826565/events.out.tfevents.1631675710.c86ef10ea4b0.88.19 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b818edaf26d6ea8162f04dfc234e0b702018a5e501bf40c886703f7f5ec4209e
3
+ size 4427
runs/Sep15_03-15-04_c86ef10ea4b0/events.out.tfevents.1631675710.c86ef10ea4b0.88.18 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:15919021cf5a31698c789df9dfb83f04e54a057197d262683336c6a662c22c97
3
+ size 7058
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:0cdb05bc54193d6d59a6c6ea2da03fa0c98ed83e87c7269005d4c4031288e526
3
  size 2799
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a3e3bf9259ed913197db61f651246a1b4acf71bfcc73ae0f411dc67094ed67f1
3
  size 2799