BATCH_SIZE=8

LEARNING_RATE=5e-05
MAX_LENGTH=512
FOLD=3

README.md

@@ -14,7 +14,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.68
+      value: 0.46
 ---
 
 <!-- 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. -->
 
 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.
 It achieves the following results on the evaluation set:
-- Loss: 1.7425
-- Accuracy: 0.68
+- Loss: 3.4791
+- Accuracy: 0.46
 
 ## Model description
 
@@ -56,16 +56,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 57   | 0.9313          | 0.56     |
-| No log        | 2.0   | 114  | 0.8271          | 0.54     |
-| No log        | 3.0   | 171  | 0.8228          | 0.62     |
-| No log        | 4.0   | 228  | 1.3854          | 0.58     |
-| No log        | 5.0   | 285  | 1.0779          | 0.68     |
-| No log        | 6.0   | 342  | 1.2634          | 0.68     |
-| No log        | 7.0   | 399  | 1.4692          | 0.64     |
-| No log        | 8.0   | 456  | 1.7247          | 0.66     |
-| 0.417         | 9.0   | 513  | 1.8468          | 0.62     |
-| 0.417         | 10.0  | 570  | 1.7425          | 0.68     |
+| No log        | 1.0   | 57   | 0.9744          | 0.38     |
+| No log        | 2.0   | 114  | 1.0571          | 0.5      |
+| No log        | 3.0   | 171  | 1.2766          | 0.5      |
+| No log        | 4.0   | 228  | 1.8762          | 0.42     |
+| No log        | 5.0   | 285  | 2.6197          | 0.44     |
+| No log        | 6.0   | 342  | 2.4588          | 0.52     |
+| No log        | 7.0   | 399  | 3.3032          | 0.48     |
+| No log        | 8.0   | 456  | 3.4933          | 0.46     |
+| 0.3509        | 9.0   | 513  | 3.4523          | 0.46     |
+| 0.3509        | 10.0  | 570  | 3.4791          | 0.46     |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ed1ce2344ae8e0ec45aa0cbd824274d8be33c5e82cc2d49799c718dd932d7d4a
+oid sha256:080245b103ca818e10a1aa3bf4b8589e4ce55fe92c1b2b4e6a4ad65c6b17b961
 size 433334445

runs/Sep12_14-21-49_f78a04431978/events.out.tfevents.1631457245.f78a04431978.87.8

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:331a58799aea848fe3991e37181089458bf6ea777c5dbc68ec1fba42cf366a30
+size 363

runs/Sep12_14-34-09_f78a04431978/1631457254.339973/events.out.tfevents.1631457254.f78a04431978.87.10

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4075f7a52b7e210b81f0dbb8aaeae7134662a2e08f3d374cb44792dee52a62bb
+size 4219

runs/Sep12_14-34-09_f78a04431978/events.out.tfevents.1631457254.f78a04431978.87.9

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5fd2e005215770e8dde5c8ee872d5564d73475b8919c0d7d93059c466ce29be8
+size 6821

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d215cc4567bfd3cd1edbe73e735ce16dd0fca432a19c96b5098e6bc350564e57
+oid sha256:075e7eacd0fcbab7cfd993fcb93c69c8498069c41fe0c7431cd9b85fb4700534
 size 2671