BATCH_SIZE=8

LEARNING_RATE=0.003
MAX_LENGTH=512
FOLD=7

README.md

@@ -14,7 +14,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.56
+      value: 0.54
 ---
 
 <!-- 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-v1.1](https://huggingface.co/dmis-lab/biobert-v1.1) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9492
-- Accuracy: 0.56
+- Loss: 0.9559
+- Accuracy: 0.54
 
 ## 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   | 0.9811          | 0.56     |
-| No log        | 2.0   | 114  | 1.0064          | 0.56     |
-| No log        | 3.0   | 171  | 1.4102          | 0.32     |
-| No log        | 4.0   | 228  | 0.9916          | 0.56     |
-| No log        | 5.0   | 285  | 0.9874          | 0.56     |
-| No log        | 6.0   | 342  | 1.0240          | 0.32     |
-| No log        | 7.0   | 399  | 0.9913          | 0.56     |
-| No log        | 8.0   | 456  | 0.9655          | 0.56     |
-| 1.1104        | 9.0   | 513  | 0.9560          | 0.56     |
-| 1.1104        | 10.0  | 570  | 0.9492          | 0.56     |
+| No log        | 1.0   | 57   | 1.2894          | 0.54     |
+| No log        | 2.0   | 114  | 1.0096          | 0.34     |
+| No log        | 3.0   | 171  | 1.5549          | 0.34     |
+| No log        | 4.0   | 228  | 1.0579          | 0.54     |
+| No log        | 5.0   | 285  | 1.0048          | 0.54     |
+| No log        | 6.0   | 342  | 0.9729          | 0.54     |
+| No log        | 7.0   | 399  | 1.0155          | 0.54     |
+| No log        | 8.0   | 456  | 1.0106          | 0.34     |
+| 1.1098        | 9.0   | 513  | 0.9688          | 0.54     |
+| 1.1098        | 10.0  | 570  | 0.9559          | 0.54     |
 
 
 ### Framework versions

pytorch_model.bin

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runs/Sep13_12-00-59_1428212fe7ba/events.out.tfevents.1631535930.1428212fe7ba.82.20

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runs/Sep13_12-25-40_1428212fe7ba/events.out.tfevents.1631535944.1428212fe7ba.82.21

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training_args.bin

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 size 2735