End of training

README.md

@@ -26,16 +26,16 @@ model-index:
     metrics:
     - name: Precision
       type: precision
-      value: 0.937991068905093
+      value: 0.9438897083853398
     - name: Recall
       type: recall
-      value: 0.9717163436200738
+      value: 0.9742343502957194
     - name: F1
       type: f1
-      value: 0.9545559134836631
+      value: 0.9588220038613375
     - name: Accuracy
       type: accuracy
-      value: 0.9784621223416512
+      value: 0.9796142429212357
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -45,11 +45,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the biobert_json dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0853
-- Precision: 0.9380
-- Recall: 0.9717
-- F1: 0.9546
-- Accuracy: 0.9785
+- Loss: 0.0878
+- Precision: 0.9439
+- Recall: 0.9742
+- F1: 0.9588
+- Accuracy: 0.9796
 
 ## Model description
 
@@ -74,16 +74,17 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 4
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 306  | 0.1343          | 0.9035    | 0.9289 | 0.9160 | 0.9646   |
-| 0.4365        | 2.0   | 612  | 0.0985          | 0.9254    | 0.9662 | 0.9453 | 0.9746   |
-| 0.4365        | 3.0   | 918  | 0.0833          | 0.9413    | 0.9684 | 0.9547 | 0.9788   |
-| 0.0949        | 4.0   | 1224 | 0.0853          | 0.9380    | 0.9717 | 0.9546 | 0.9785   |
+| No log        | 1.0   | 306  | 0.0930          | 0.9292    | 0.9701 | 0.9492 | 0.9769   |
+| 0.0689        | 2.0   | 612  | 0.0995          | 0.9337    | 0.9741 | 0.9535 | 0.9770   |
+| 0.0689        | 3.0   | 918  | 0.0858          | 0.9466    | 0.9735 | 0.9599 | 0.9797   |
+| 0.045         | 4.0   | 1224 | 0.0869          | 0.9450    | 0.9725 | 0.9586 | 0.9794   |
+| 0.0414        | 5.0   | 1530 | 0.0878          | 0.9439    | 0.9742 | 0.9588 | 0.9796   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4b3e272be8aac167f2fc454887a5e7d987d1a0740653a852cfede5aa52643fc4
+oid sha256:33d67339a6f087cf803d631f58a4a7bc18a305f3ce9617df0ee169ba0497d9ec
 size 1109928552