harshavsk
/

ind_roberta

@@ -13,12 +13,12 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5869
-- Accuracy@en: 0.9367
-- F1@en: 0.9349
-- Precision@en: 0.9321
-- Recall@en: 0.9389
-- Loss@en: 0.5869
 ## Model description
@@ -43,25 +43,14 @@ 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: 13
 ### Training results
 | Training Loss | Epoch | Step | Validation Loss | Accuracy@en | F1@en  | Precision@en | Recall@en | Loss@en |
 |:-------------:|:-----:|:----:|:---------------:|:-----------:|:------:|:------------:|:---------:|:-------:|
-| 0.1056        | 1.0   | 375  | 0.3912          | 0.91        | 0.9069 | 0.9064       | 0.9074    | 0.3912  |
-| 0.0651        | 2.0   | 750  | 0.4985          | 0.9167      | 0.9146 | 0.9114       | 0.9195    | 0.4985  |
-| 0.1342        | 3.0   | 1125 | 0.4022          | 0.9233      | 0.9209 | 0.9194       | 0.9225    | 0.4022  |
-| 0.0982        | 4.0   | 1500 | 0.4177          | 0.9433      | 0.9418 | 0.9389       | 0.9458    | 0.4177  |
-| 0.0237        | 5.0   | 1875 | 0.5359          | 0.94        | 0.9386 | 0.9351       | 0.9443    | 0.5359  |
-| 0.0243        | 6.0   | 2250 | 0.5797          | 0.9233      | 0.9212 | 0.9185       | 0.9251    | 0.5797  |
-| 0.0377        | 7.0   | 2625 | 0.5550          | 0.94        | 0.9387 | 0.9350       | 0.9456    | 0.5550  |
-| 0.0001        | 8.0   | 3000 | 0.5920          | 0.9367      | 0.9353 | 0.9316       | 0.9428    | 0.5920  |
-| 0.0119        | 9.0   | 3375 | 0.5539          | 0.94        | 0.9387 | 0.9350       | 0.9456    | 0.5539  |
-| 0.0215        | 10.0  | 3750 | 0.5690          | 0.9433      | 0.9420 | 0.9384       | 0.9484    | 0.5690  |
-| 0.0146        | 11.0  | 4125 | 0.5687          | 0.9433      | 0.9420 | 0.9384       | 0.9484    | 0.5687  |
-| 0.0001        | 12.0  | 4500 | 0.5718          | 0.94        | 0.9386 | 0.9351       | 0.9443    | 0.5718  |
-| 0.0091        | 13.0  | 4875 | 0.5869          | 0.9367      | 0.9349 | 0.9321       | 0.9389    | 0.5869  |
 ### Framework versions

 This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.3372
+- Accuracy@en: 0.89
+- F1@en: 0.8859
+- Precision@en: 0.8864
+- Recall@en: 0.8854
+- Loss@en: 0.3372
 ## Model description
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
+- num_epochs: 2
 ### Training results
 | Training Loss | Epoch | Step | Validation Loss | Accuracy@en | F1@en  | Precision@en | Recall@en | Loss@en |
 |:-------------:|:-----:|:----:|:---------------:|:-----------:|:------:|:------------:|:---------:|:-------:|
+| 0.389         | 1.0   | 375  | 0.3372          | 0.89        | 0.8859 | 0.8864       | 0.8854    | 0.3372  |
+| 0.2437        | 2.0   | 750  | 0.3435          | 0.9         | 0.8967 | 0.8957       | 0.8977    | 0.3435  |
 ### Framework versions