BATCH_SIZE=8

LEARNING_RATE=5e-05
MAX_LENGTH=512
FOLD=7

README.md

@@ -14,7 +14,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.56
+      value: 0.62
 ---
 
 <!-- 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: 2.2974
-- Accuracy: 0.56
+- Loss: 2.1355
+- Accuracy: 0.62
 
 ## 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   | 0.9575          | 0.56     |
-| No log        | 2.0   | 114  | 0.9150          | 0.64     |
-| No log        | 3.0   | 171  | 1.0275          | 0.64     |
-| No log        | 4.0   | 228  | 1.3835          | 0.6      |
-| No log        | 5.0   | 285  | 1.7440          | 0.64     |
-| No log        | 6.0   | 342  | 2.1670          | 0.6      |
-| No log        | 7.0   | 399  | 2.1148          | 0.56     |
-| No log        | 8.0   | 456  | 2.3797          | 0.56     |
-| 0.3551        | 9.0   | 513  | 2.2740          | 0.58     |
-| 0.3551        | 10.0  | 570  | 2.2974          | 0.56     |
+| No log        | 1.0   | 57   | 0.9513          | 0.54     |
+| No log        | 2.0   | 114  | 0.9832          | 0.64     |
+| No log        | 3.0   | 171  | 0.9813          | 0.66     |
+| No log        | 4.0   | 228  | 1.2446          | 0.6      |
+| No log        | 5.0   | 285  | 1.6893          | 0.62     |
+| No log        | 6.0   | 342  | 1.8162          | 0.6      |
+| No log        | 7.0   | 399  | 2.0291          | 0.58     |
+| No log        | 8.0   | 456  | 2.2782          | 0.64     |
+| 0.356         | 9.0   | 513  | 2.1505          | 0.6      |
+| 0.356         | 10.0  | 570  | 2.1355          | 0.62     |
 
 
 ### Framework versions

pytorch_model.bin

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runs/Sep12_15-11-29_f78a04431978/events.out.tfevents.1631460231.f78a04431978.87.20

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runs/Sep12_15-23-55_f78a04431978/1631460240.121313/events.out.tfevents.1631460240.f78a04431978.87.22

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training_args.bin

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 size 2671