End of training

README.md

@@ -9,23 +9,23 @@ metrics:
 - recall
 - f1
 model-index:
-- name: 080524_epoch_4
+- name: 080524_epoch_5
   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_4
+# 080524_epoch_5
 
 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: 0.6016
-- Accuracy: 0.8403
-- Precision: 0.8404
-- Recall: 0.8403
-- F1: 0.8403
-- Ratio: 0.5084
+- Loss: 0.5972
+- Accuracy: 0.8445
+- Precision: 0.8448
+- Recall: 0.8445
+- F1: 0.8445
+- Ratio: 0.4874
 
 ## Model description
 
@@ -61,12 +61,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy | Precision | Recall | F1     | Ratio  |
 |:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|
-| 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 |
+| 0.4518        | 0.1626 | 10   | 0.6633          | 0.8361   | 0.8469    | 0.8361 | 0.8348 | 0.4118 |
+| 0.4418        | 0.3252 | 20   | 0.6798          | 0.8277   | 0.8279    | 0.8277 | 0.8277 | 0.5126 |
+| 0.5709        | 0.4878 | 30   | 0.7447          | 0.8193   | 0.8367    | 0.8193 | 0.8170 | 0.3866 |
+| 0.6645        | 0.6504 | 40   | 0.6229          | 0.8487   | 0.8487    | 0.8487 | 0.8487 | 0.5    |
+| 0.6606        | 0.8130 | 50   | 0.6014          | 0.8445   | 0.8446    | 0.8445 | 0.8445 | 0.5042 |
+| 0.5763        | 0.9756 | 60   | 0.5972          | 0.8445   | 0.8448    | 0.8445 | 0.8445 | 0.4874 |
 
 
 ### Framework versions

logs/events.out.tfevents.1715155203.4eb47db37635.5225.14

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model.safetensors

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training_args.bin

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