End of training

README.md

@@ -1,5 +1,5 @@
 ---
-base_model: MilaNLProc/feel-it-italian-emotion
+base_model: lupobricco/feel_it_finetuned_pro_emit_multilabel2
 tags:
 - generated_from_trainer
 metrics:
@@ -15,12 +15,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 # multilabel_emotion_classification_finetuned_multimodal
 
-This model is a fine-tuned version of [MilaNLProc/feel-it-italian-emotion](https://huggingface.co/MilaNLProc/feel-it-italian-emotion) on the None dataset.
+This model is a fine-tuned version of [lupobricco/feel_it_finetuned_pro_emit_multilabel2](https://huggingface.co/lupobricco/feel_it_finetuned_pro_emit_multilabel2) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3025
-- F1: 0.2543
-- Roc Auc: 0.5733
-- Accuracy: 0.2464
+- Loss: 0.2360
+- F1: 0.5623
+- Roc Auc: 0.7470
+- Accuracy: 0.3913
 
 ## Model description
 
@@ -51,16 +51,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
-| No log        | 1.0   | 35   | 0.4602          | 0.2394 | 0.5743  | 0.1884   |
-| No log        | 2.0   | 70   | 0.3852          | 0.0    | 0.5     | 0.1087   |
-| No log        | 3.0   | 105  | 0.3511          | 0.0    | 0.5     | 0.1087   |
-| No log        | 4.0   | 140  | 0.3328          | 0.0    | 0.5     | 0.1087   |
-| No log        | 5.0   | 175  | 0.3221          | 0.0    | 0.5     | 0.1087   |
-| No log        | 6.0   | 210  | 0.3154          | 0.0136 | 0.5034  | 0.1159   |
-| No log        | 7.0   | 245  | 0.3103          | 0.0789 | 0.5205  | 0.1449   |
-| No log        | 8.0   | 280  | 0.3064          | 0.1274 | 0.5338  | 0.1739   |
-| No log        | 9.0   | 315  | 0.3036          | 0.2442 | 0.5699  | 0.2391   |
-| No log        | 10.0  | 350  | 0.3025          | 0.2543 | 0.5733  | 0.2464   |
+| No log        | 1.0   | 35   | 0.2273          | 0.5136 | 0.6927  | 0.3188   |
+| No log        | 2.0   | 70   | 0.2323          | 0.5474 | 0.7234  | 0.3768   |
+| No log        | 3.0   | 105  | 0.2337          | 0.5017 | 0.7033  | 0.3478   |
+| No log        | 4.0   | 140  | 0.2330          | 0.5432 | 0.7425  | 0.3623   |
+| No log        | 5.0   | 175  | 0.2282          | 0.5592 | 0.7402  | 0.3768   |
+| No log        | 6.0   | 210  | 0.2392          | 0.5431 | 0.7365  | 0.3768   |
+| No log        | 7.0   | 245  | 0.2357          | 0.5281 | 0.7230  | 0.3551   |
+| No log        | 8.0   | 280  | 0.2342          | 0.5526 | 0.7367  | 0.3623   |
+| No log        | 9.0   | 315  | 0.2360          | 0.5623 | 0.7470  | 0.3913   |
+| No log        | 10.0  | 350  | 0.2348          | 0.5478 | 0.7396  | 0.3768   |
 
 
 ### Framework versions