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
f2fdf89
•
1 Parent(s): 8d87278

BATCH_SIZE=8

Browse files

LEARNING_RATE=5e-05
MAX_LENGTH=512
FOLD=6

Files changed (6) hide show
  1. README.md +13 -13
  2. pytorch_model.bin +1 -1
  3. runs/Sep12_14-58-58_f78a04431978/events.out.tfevents.1631459486.f78a04431978.87.17 +3 -0
  4. runs/Sep12_15-11-29_f78a04431978/1631459494.8905697/events.out.tfevents.1631459494.f78a04431978.87.19 +3 -0
  5. runs/Sep12_15-11-29_f78a04431978/events.out.tfevents.1631459494.f78a04431978.87.18 +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: 0.64
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: 1.6910
28
- - Accuracy: 0.64
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 | 0.9316 | 0.62 |
60
- | No log | 2.0 | 114 | 0.7987 | 0.68 |
61
- | No log | 3.0 | 171 | 0.7670 | 0.7 |
62
- | No log | 4.0 | 228 | 0.8964 | 0.7 |
63
- | No log | 5.0 | 285 | 1.1197 | 0.7 |
64
- | No log | 6.0 | 342 | 1.5581 | 0.64 |
65
- | No log | 7.0 | 399 | 1.5467 | 0.68 |
66
- | No log | 8.0 | 456 | 1.5988 | 0.66 |
67
- | 0.4269 | 9.0 | 513 | 1.6613 | 0.64 |
68
- | 0.4269 | 10.0 | 570 | 1.6910 | 0.64 |
69
 
70
 
71
  ### Framework versions
 
14
  metrics:
15
  - name: Accuracy
16
  type: accuracy
17
+ value: 0.56
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: 2.2974
28
+ - Accuracy: 0.56
29
 
30
  ## Model description
31
 
 
56
 
57
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
58
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
59
+ | No log | 1.0 | 57 | 0.9575 | 0.56 |
60
+ | No log | 2.0 | 114 | 0.9150 | 0.64 |
61
+ | No log | 3.0 | 171 | 1.0275 | 0.64 |
62
+ | No log | 4.0 | 228 | 1.3835 | 0.6 |
63
+ | No log | 5.0 | 285 | 1.7440 | 0.64 |
64
+ | No log | 6.0 | 342 | 2.1670 | 0.6 |
65
+ | No log | 7.0 | 399 | 2.1148 | 0.56 |
66
+ | No log | 8.0 | 456 | 2.3797 | 0.56 |
67
+ | 0.3551 | 9.0 | 513 | 2.2740 | 0.58 |
68
+ | 0.3551 | 10.0 | 570 | 2.2974 | 0.56 |
69
 
70
 
71
  ### Framework versions
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:6346269fb0434869b8104e0c2cca0144a7857139ab6ee55632d3057d6c189f3b
3
  size 433334445
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:33c8e3fa7922953ac3463fdd4efbdc7358826d4d5d49d34f042fd54dc1b0a2d2
3
  size 433334445
runs/Sep12_14-58-58_f78a04431978/events.out.tfevents.1631459486.f78a04431978.87.17 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9fc33bfdcebc5b4e3131b842f6cdc8c6a30ff74c215aca3002cb85cb4cf5935c
3
+ size 363
runs/Sep12_15-11-29_f78a04431978/1631459494.8905697/events.out.tfevents.1631459494.f78a04431978.87.19 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:98796aeb19e25486abe3a1eb3d3a6942e6b4b7c80046edd2cc5010ec60e81c40
3
+ size 4219
runs/Sep12_15-11-29_f78a04431978/events.out.tfevents.1631459494.f78a04431978.87.18 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f3958cd9185df98d389d345c9d831c02d144dc6c1c6acf836d790028ffa46184
3
+ size 6821
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:d7c545bbdb37375e33dc58c6f3d1d9e90de4ae9a88a9edb768549a60d26edc5a
3
  size 2671
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:20ff786e6104ecfd50b010fce0b65519cb81c2f167fa5b31256ed2106ddf8136
3
  size 2671