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
d44d957
•
1 Parent(s): 8beea24

BATCH_SIZE=8

Browse files

LEARNING_RATE=1e-05
MAX_LENGTH=512
FOLD=3

Files changed (6) hide show
  1. README.md +13 -13
  2. pytorch_model.bin +1 -1
  3. runs/Sep14_00-13-10_6b9fab2f6f7f/events.out.tfevents.1631579471.6b9fab2f6f7f.89.8 +3 -0
  4. runs/Sep14_00-31-19_6b9fab2f6f7f/1631579485.4226582/events.out.tfevents.1631579485.6b9fab2f6f7f.89.10 +3 -0
  5. runs/Sep14_00-31-19_6b9fab2f6f7f/events.out.tfevents.1631579485.6b9fab2f6f7f.89.9 +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: 0.7
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: 0.8759
29
- - Accuracy: 0.7
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 | 0.9104 | 0.56 |
61
- | No log | 2.0 | 114 | 0.9128 | 0.56 |
62
- | No log | 3.0 | 171 | 0.8350 | 0.66 |
63
- | No log | 4.0 | 228 | 0.8816 | 0.6 |
64
- | No log | 5.0 | 285 | 0.8680 | 0.64 |
65
- | No log | 6.0 | 342 | 0.8454 | 0.72 |
66
- | No log | 7.0 | 399 | 0.8132 | 0.72 |
67
- | No log | 8.0 | 456 | 0.8455 | 0.72 |
68
- | 0.6189 | 9.0 | 513 | 0.8716 | 0.72 |
69
- | 0.6189 | 10.0 | 570 | 0.8759 | 0.7 |
70
 
71
 
72
  ### Framework versions
 
15
  metrics:
16
  - name: Accuracy
17
  type: accuracy
18
+ value: 0.54
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: 1.6365
29
+ - Accuracy: 0.54
30
 
31
  ## Model description
32
 
 
57
 
58
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
59
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
60
+ | No log | 1.0 | 57 | 0.9494 | 0.54 |
61
+ | No log | 2.0 | 114 | 0.9604 | 0.56 |
62
+ | No log | 3.0 | 171 | 1.0310 | 0.54 |
63
+ | No log | 4.0 | 228 | 1.1234 | 0.52 |
64
+ | No log | 5.0 | 285 | 1.2318 | 0.56 |
65
+ | No log | 6.0 | 342 | 1.3469 | 0.56 |
66
+ | No log | 7.0 | 399 | 1.4325 | 0.58 |
67
+ | No log | 8.0 | 456 | 1.5702 | 0.54 |
68
+ | 0.5822 | 9.0 | 513 | 1.6306 | 0.54 |
69
+ | 0.5822 | 10.0 | 570 | 1.6365 | 0.54 |
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:d060b29814e037543be1cf9cd00470af396e5f1859da51c8cb71d75335662ffd
3
  size 438022317
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cffdc3c9e122e86c6ed6e2a3ff3a1cb39c2fe2eb46de4f6b5bdfa00d03cde90b
3
  size 438022317
runs/Sep14_00-13-10_6b9fab2f6f7f/events.out.tfevents.1631579471.6b9fab2f6f7f.89.8 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b5ea970502f72cfd8e807a51ed0bdc9f4a4a7847b7d5e71848af3ea8c366c420
3
+ size 363
runs/Sep14_00-31-19_6b9fab2f6f7f/1631579485.4226582/events.out.tfevents.1631579485.6b9fab2f6f7f.89.10 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c360cfa1e12a901196eafbfaf0f5370e311984cde7f6b6474f55d08b35b8ead1
3
+ size 4427
runs/Sep14_00-31-19_6b9fab2f6f7f/events.out.tfevents.1631579485.6b9fab2f6f7f.89.9 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7eae21fc6e075ad45f9e89417d39a0a1631fa664f787013db86fa78ecf7a98f6
3
+ size 7058
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:6b6261dad9e60f0b11628f2424d9643ef80359a37512f5a7e4187ba607e06d85
3
  size 2799
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:68e22d5a8a7ad34dba62f395b217c9b8e227f1b5eb9ecce1eeb13a46dfcbfb50
3
  size 2799