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
8d87278
•
1 Parent(s): 5ec4f4d

BATCH_SIZE=8

Browse files

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

Files changed (6) hide show
  1. README.md +13 -13
  2. pytorch_model.bin +1 -1
  3. runs/Sep12_14-46-31_f78a04431978/events.out.tfevents.1631458734.f78a04431978.87.14 +3 -0
  4. runs/Sep12_14-58-58_f78a04431978/1631458743.4418862/events.out.tfevents.1631458743.f78a04431978.87.16 +3 -0
  5. runs/Sep12_14-58-58_f78a04431978/events.out.tfevents.1631458743.f78a04431978.87.15 +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: 0.7
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: 1.7970
28
- - Accuracy: 0.7
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 | 0.9498 | 0.64 |
60
- | No log | 2.0 | 114 | 0.9274 | 0.64 |
61
- | No log | 3.0 | 171 | 0.9717 | 0.6 |
62
- | No log | 4.0 | 228 | 1.2714 | 0.62 |
63
- | No log | 5.0 | 285 | 1.6159 | 0.62 |
64
- | No log | 6.0 | 342 | 1.5167 | 0.62 |
65
- | No log | 7.0 | 399 | 1.7464 | 0.66 |
66
- | No log | 8.0 | 456 | 1.8073 | 0.64 |
67
- | 0.3805 | 9.0 | 513 | 1.7878 | 0.66 |
68
- | 0.3805 | 10.0 | 570 | 1.7970 | 0.7 |
69
 
70
 
71
  ### Framework versions
 
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
 
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
 
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
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:0e88ec820e4a0fdee92956498afd59e30507293e86d865b1912d7fff4b80f1c4
3
  size 433334445
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6346269fb0434869b8104e0c2cca0144a7857139ab6ee55632d3057d6c189f3b
3
  size 433334445
runs/Sep12_14-46-31_f78a04431978/events.out.tfevents.1631458734.f78a04431978.87.14 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3b00944e35002668b002cc2929e2434b5eff223457fc621c1d5cc12e9761dc2a
3
+ size 363
runs/Sep12_14-58-58_f78a04431978/1631458743.4418862/events.out.tfevents.1631458743.f78a04431978.87.16 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:551072d52a95ec99d7214a492df1348384421c28081f6ea78805744346e828b5
3
+ size 4219
runs/Sep12_14-58-58_f78a04431978/events.out.tfevents.1631458743.f78a04431978.87.15 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ca71115653babe185069c5f6f1f64b7d72f32eb10bf6e1c01c8aeb07186e8eea
3
+ size 6821
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:28583206df5825a06e37c78b8df7fb7d27520708f82c559602f32689a6c24ca0
3
  size 2671
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d7c545bbdb37375e33dc58c6f3d1d9e90de4ae9a88a9edb768549a60d26edc5a
3
  size 2671