Hugging Face's logo

blizrys
/
biobert-v1.1-finetuned-pubmedqa

Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results
Model card Files Metrics Community
1
blizrys commited on
Commit
c9b028f
·
1 Parent(s): b3aa0e8

BATCH_SIZE=8

Browse files

LEARNING_RATE=5e-05
MAX_LENGTH=512
FOLD=9

Files changed (6) hide show
  1. README.md +13 -13
  2. pytorch_model.bin +1 -1
  3. runs/Sep12_23-14-36_8d8e5e6b31d0/events.out.tfevents.1631489414.8d8e5e6b31d0.88.26 +3 -0
  4. runs/Sep12_23-30-17_8d8e5e6b31d0/1631489422.1718965/events.out.tfevents.1631489422.8d8e5e6b31d0.88.28 +3 -0
  5. runs/Sep12_23-30-17_8d8e5e6b31d0/events.out.tfevents.1631489422.8d8e5e6b31d0.88.27 +3 -0
  6. training_args.bin +1 -1
README.md CHANGED
@@ -14,7 +14,7 @@ model-index:
14
  metrics:
15
  - name: Accuracy
16
  type: accuracy
17
- value: 0.52
18
  ---
19
 
20
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -24,8 +24,8 @@ should probably proofread and complete it, then remove this comment. -->
24
 
25
  This model is a fine-tuned version of [dmis-lab/biobert-v1.1](https://huggingface.co/dmis-lab/biobert-v1.1) on the None dataset.
26
  It achieves the following results on the evaluation set:
27
- - Loss: 2.7267
28
- - Accuracy: 0.52
29
 
30
  ## Model description
31
 
@@ -56,16 +56,16 @@ The following hyperparameters were used during training:
56
 
57
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
58
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
59
- | No log | 1.0 | 57 | 0.9660 | 0.54 |
60
- | No log | 2.0 | 114 | 0.9028 | 0.6 |
61
- | No log | 3.0 | 171 | 1.1457 | 0.54 |
62
- | No log | 4.0 | 228 | 1.1079 | 0.62 |
63
- | No log | 5.0 | 285 | 1.6124 | 0.54 |
64
- | No log | 6.0 | 342 | 1.8086 | 0.56 |
65
- | No log | 7.0 | 399 | 2.5019 | 0.5 |
66
- | No log | 8.0 | 456 | 2.5920 | 0.52 |
67
- | 0.3951 | 9.0 | 513 | 2.7733 | 0.52 |
68
- | 0.3951 | 10.0 | 570 | 2.7267 | 0.52 |
69
 
70
 
71
  ### Framework versions
 
14
  metrics:
15
  - name: Accuracy
16
  type: accuracy
17
+ value: 0.58
18
  ---
19
 
20
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
24
 
25
  This model is a fine-tuned version of [dmis-lab/biobert-v1.1](https://huggingface.co/dmis-lab/biobert-v1.1) on the None dataset.
26
  It achieves the following results on the evaluation set:
27
+ - Loss: 2.1836
28
+ - Accuracy: 0.58
29
 
30
  ## Model description
31
 
 
56
 
57
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
58
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
59
+ | No log | 1.0 | 57 | 0.8615 | 0.58 |
60
+ | No log | 2.0 | 114 | 0.9085 | 0.58 |
61
+ | No log | 3.0 | 171 | 0.8998 | 0.6 |
62
+ | No log | 4.0 | 228 | 1.1252 | 0.66 |
63
+ | No log | 5.0 | 285 | 1.4301 | 0.6 |
64
+ | No log | 6.0 | 342 | 1.3875 | 0.68 |
65
+ | No log | 7.0 | 399 | 2.0717 | 0.54 |
66
+ | No log | 8.0 | 456 | 2.0547 | 0.58 |
67
+ | 0.4108 | 9.0 | 513 | 2.1581 | 0.56 |
68
+ | 0.4108 | 10.0 | 570 | 2.1836 | 0.58 |
69
 
70
 
71
  ### Framework versions
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:29cfbdc51c7add2138e3bdadb673ed630e8ca3a6a85746d4d82132ce3bf46c73
3
  size 433334445
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6a5ca30fd12a7dbbbb4e169baf287ebe108b7f7457bc1a0486bd09f76ad8b6b1
3
  size 433334445
runs/Sep12_23-14-36_8d8e5e6b31d0/events.out.tfevents.1631489414.8d8e5e6b31d0.88.26 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5f91da95ad5d31e07e35906bee82173289e81fa0ae4cc170498f4de46d6a1667
3
+ size 363
runs/Sep12_23-30-17_8d8e5e6b31d0/1631489422.1718965/events.out.tfevents.1631489422.8d8e5e6b31d0.88.28 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1d419c2dcd73c1a576a5335b40b5dc68993a1e694846979a08fe0141e80350bd
3
+ size 4271
runs/Sep12_23-30-17_8d8e5e6b31d0/events.out.tfevents.1631489422.8d8e5e6b31d0.88.27 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7f6381610f6b5471d34e82f70a10865f10d6e85be962c8d09c1450081282ac49
3
+ size 6904
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:42453f73066e30dbb088d7d44cc57a198ece30b328307cee2bc6a58b74964081
3
  size 2735
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a542ca51702e3495c58074eabee28b3ee9f826d62bf5117f01b658f3cb669eb8
3
  size 2735