End of training

README.md

@@ -26,16 +26,16 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.8710403868671779
+      value: 0.8683940771433114
     - name: Accuracy
       type: accuracy
-      value: 0.8532342509711197
+      value: 0.8485053200472893
     - name: Precision
       type: precision
-      value: 0.8720870640046013
+      value: 0.8698117604818486
     - name: Recall
       type: recall
-      value: 0.8702193220953417
+      value: 0.8672521533524743
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -45,12 +45,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [dumitrescustefan/bert-base-romanian-cased-v1](https://huggingface.co/dumitrescustefan/bert-base-romanian-cased-v1) on the moroco dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0981
-- F1: 0.8710
-- Roc Auc: None
-- Accuracy: 0.8532
-- Precision: 0.8721
-- Recall: 0.8702
+- Loss: 0.1075
+- F1: 0.8684
+- Roc Auc: 0.9149
+- Accuracy: 0.8485
+- Precision: 0.8698
+- Recall: 0.8673
 
 ## Model description
 
@@ -75,15 +75,14 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 2
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|:---------:|:------:|
-| 0.1167        | 1.0   | 1358 | 0.1011          | 0.8622 | None    | 0.8480   | 0.8792    | 0.8483 |
-| 0.0815        | 2.0   | 2716 | 0.0988          | 0.8710 | None    | 0.8588   | 0.8804    | 0.8624 |
-| 0.0574        | 3.0   | 4074 | 0.0981          | 0.8710 | None    | 0.8532   | 0.8721    | 0.8702 |
+| 0.1332        | 1.0   | 1358 | 0.1120          | 0.8630 | 0.9075  | 0.8428   | 0.8822    | 0.8456 |
+| 0.0935        | 2.0   | 2716 | 0.1075          | 0.8684 | 0.9149  | 0.8485   | 0.8698    | 0.8673 |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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