Hugging Face's logo

blizrys
/
biobert-base-cased-v1.1-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
9a81cda
•
1 Parent(s): 64e4d7e

BATCH_SIZE=8

Browse files

LEARNING_RATE=5e-05
MAX_LENGTH=512
FOLD=8

Files changed (6) hide show
  1. README.md +13 -13
  2. pytorch_model.bin +1 -1
  3. runs/Sep12_15-23-55_f78a04431978/events.out.tfevents.1631460976.f78a04431978.87.23 +3 -0
  4. runs/Sep12_15-36-19_f78a04431978/1631460984.7402358/events.out.tfevents.1631460984.f78a04431978.87.25 +3 -0
  5. runs/Sep12_15-36-19_f78a04431978/events.out.tfevents.1631460984.f78a04431978.87.24 +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: 0.62
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-base-cased-v1.1](https://huggingface.co/dmis-lab/biobert-base-cased-v1.1) on the None dataset.
26
  It achieves the following results on the evaluation set:
27
- - Loss: 2.1355
28
- - Accuracy: 0.62
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 | 0.9513 | 0.54 |
60
- | No log | 2.0 | 114 | 0.9832 | 0.64 |
61
- | No log | 3.0 | 171 | 0.9813 | 0.66 |
62
- | No log | 4.0 | 228 | 1.2446 | 0.6 |
63
- | No log | 5.0 | 285 | 1.6893 | 0.62 |
64
- | No log | 6.0 | 342 | 1.8162 | 0.6 |
65
- | No log | 7.0 | 399 | 2.0291 | 0.58 |
66
- | No log | 8.0 | 456 | 2.2782 | 0.64 |
67
- | 0.356 | 9.0 | 513 | 2.1505 | 0.6 |
68
- | 0.356 | 10.0 | 570 | 2.1355 | 0.62 |
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-base-cased-v1.1](https://huggingface.co/dmis-lab/biobert-base-cased-v1.1) on the None dataset.
26
  It achieves the following results on the evaluation set:
27
+ - Loss: 2.2530
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 | 0.9477 | 0.54 |
60
+ | No log | 2.0 | 114 | 0.9100 | 0.6 |
61
+ | No log | 3.0 | 171 | 0.9887 | 0.6 |
62
+ | No log | 4.0 | 228 | 1.5443 | 0.62 |
63
+ | No log | 5.0 | 285 | 1.5868 | 0.6 |
64
+ | No log | 6.0 | 342 | 1.9679 | 0.58 |
65
+ | No log | 7.0 | 399 | 2.1031 | 0.58 |
66
+ | No log | 8.0 | 456 | 2.1613 | 0.6 |
67
+ | 0.3344 | 9.0 | 513 | 2.2219 | 0.58 |
68
+ | 0.3344 | 10.0 | 570 | 2.2530 | 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:d984845a9a9d0f1778b619826606cb75757d5af37f512a98b5362da7258a3c29
3
  size 433334445
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ae0ac7526de8cff24377c51d2e52e9c502cf3a29e5f14ed98ef73e24740ea29a
3
  size 433334445
runs/Sep12_15-23-55_f78a04431978/events.out.tfevents.1631460976.f78a04431978.87.23 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b5a4970d1b41f54fb6914354188e40fa0814c2b60fd07d639ea2b1cba495b844
3
+ size 363
runs/Sep12_15-36-19_f78a04431978/1631460984.7402358/events.out.tfevents.1631460984.f78a04431978.87.25 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a96bd239efee1fb67c5eaa81683dafa8b5e55640293e161c3216526b5001bb76
3
+ size 4219
runs/Sep12_15-36-19_f78a04431978/events.out.tfevents.1631460984.f78a04431978.87.24 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e153061324a327ecb7fb30bf786dc64f61f6bbf373f5a39fbe51673cf2796d08
3
+ size 6821
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:a017926d10b9858b3c6a226b723f897629378d380ed6f69048baaca9d7a3483e
3
  size 2671
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c477914e730e53bf18a62f92ac842773aeeffb30f016045937bdc447a44b250f
3
  size 2671