End of training

README.md

@@ -9,18 +9,18 @@ metrics:
 - recall
 - f1
 model-index:
-- name: 080524_epoch_3
+- name: 080524_epoch_4
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# 080524_epoch_3
+# 080524_epoch_4
 
 This model is a fine-tuned version of [projecte-aina/roberta-base-ca-v2-cased-te](https://huggingface.co/projecte-aina/roberta-base-ca-v2-cased-te) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6181
+- Loss: 0.6016
 - Accuracy: 0.8403
 - Precision: 0.8404
 - Recall: 0.8403
@@ -61,12 +61,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy | Precision | Recall | F1     | Ratio  |
 |:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|
-| 0.6062        | 0.1626 | 10   | 0.6718          | 0.7857   | 0.7892    | 0.7857 | 0.7851 | 0.4454 |
-| 0.6043        | 0.3252 | 20   | 0.6672          | 0.8067   | 0.8075    | 0.8067 | 0.8066 | 0.5252 |
-| 0.5636        | 0.4878 | 30   | 0.6729          | 0.8025   | 0.8043    | 0.8025 | 0.8022 | 0.4622 |
-| 0.6299        | 0.6504 | 40   | 0.6506          | 0.8151   | 0.8184    | 0.8151 | 0.8147 | 0.5504 |
-| 0.7213        | 0.8130 | 50   | 0.6245          | 0.8277   | 0.8278    | 0.8277 | 0.8277 | 0.4958 |
-| 0.6419        | 0.9756 | 60   | 0.6181          | 0.8403   | 0.8404    | 0.8403 | 0.8403 | 0.5084 |
+| 0.5644        | 0.1626 | 10   | 0.6374          | 0.8067   | 0.8176    | 0.8067 | 0.8051 | 0.4076 |
+| 0.5088        | 0.3252 | 20   | 0.6505          | 0.8319   | 0.8319    | 0.8319 | 0.8319 | 0.5    |
+| 0.5383        | 0.4878 | 30   | 0.6372          | 0.8403   | 0.8428    | 0.8403 | 0.8401 | 0.4580 |
+| 0.609         | 0.6504 | 40   | 0.6337          | 0.8403   | 0.8419    | 0.8403 | 0.8402 | 0.5336 |
+| 0.6734        | 0.8130 | 50   | 0.6112          | 0.8487   | 0.8503    | 0.8487 | 0.8486 | 0.5336 |
+| 0.5676        | 0.9756 | 60   | 0.6016          | 0.8403   | 0.8404    | 0.8403 | 0.8403 | 0.5084 |
 
 
 ### Framework versions

logs/events.out.tfevents.1715155016.4eb47db37635.5225.13

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