Shree Ganeshay Namah, POS-MORPH Training with seqeval metrics complete

README.md

@@ -25,16 +25,16 @@ model-index:
     metrics:
     - name: Precision
       type: precision
-      value: 0.9470202237521514
+      value: 0.9547287488574655
     - name: Recall
       type: recall
-      value: 0.951318348822131
+      value: 0.9594229522368706
     - name: F1
       type: f1
-      value: 0.9491644204851751
+      value: 0.957070094591317
     - name: Accuracy
       type: accuracy
-      value: 0.9499257471691108
+      value: 0.9573510302580286
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -44,11 +44,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [om-ashish-soni/pos-morph-analysis-eng](https://huggingface.co/om-ashish-soni/pos-morph-analysis-eng) on the universal_dependencies dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2405
-- Precision: 0.9470
-- Recall: 0.9513
-- F1: 0.9492
-- Accuracy: 0.9499
+- Loss: 0.2354
+- Precision: 0.9547
+- Recall: 0.9594
+- F1: 0.9571
+- Accuracy: 0.9574
 
 ## Model description
 
@@ -75,16 +75,20 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 32
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 4
+- num_epochs: 8
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 99   | 0.3058          | 0.9324    | 0.9376 | 0.9350 | 0.9369   |
-| No log        | 1.99  | 198  | 0.2559          | 0.9423    | 0.9461 | 0.9442 | 0.9456   |
-| No log        | 2.99  | 297  | 0.2424          | 0.9449    | 0.9497 | 0.9473 | 0.9488   |
-| No log        | 3.99  | 396  | 0.2405          | 0.9470    | 0.9513 | 0.9492 | 0.9499   |
+| No log        | 1.0   | 99   | 0.2425          | 0.9476    | 0.9523 | 0.9499 | 0.9505   |
+| No log        | 1.99  | 198  | 0.2253          | 0.9504    | 0.9553 | 0.9528 | 0.9540   |
+| No log        | 2.99  | 297  | 0.2273          | 0.9511    | 0.9565 | 0.9538 | 0.9548   |
+| No log        | 4.0   | 397  | 0.2348          | 0.9512    | 0.9559 | 0.9536 | 0.9541   |
+| No log        | 5.0   | 496  | 0.2294          | 0.9539    | 0.9586 | 0.9562 | 0.9574   |
+| 0.0728        | 5.99  | 595  | 0.2319          | 0.9547    | 0.9594 | 0.9570 | 0.9574   |
+| 0.0728        | 6.99  | 694  | 0.2405          | 0.9540    | 0.9585 | 0.9562 | 0.9566   |
+| 0.0728        | 7.98  | 792  | 0.2354          | 0.9547    | 0.9594 | 0.9571 | 0.9574   |
 
 
 ### Framework versions