End of training

README.md

@@ -1,5 +1,5 @@
 ---
-base_model: cardiffnlp/twitter-xlm-roberta-base-sentiment
+base_model: daveni/twitter-xlm-roberta-emotion-es
 tags:
 - generated_from_trainer
 metrics:
@@ -17,13 +17,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # base
 
-This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base-sentiment) on an unknown dataset.
+This model is a fine-tuned version of [daveni/twitter-xlm-roberta-emotion-es](https://huggingface.co/daveni/twitter-xlm-roberta-emotion-es) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.3065
-- Accuracy: 0.8228
-- F1: 0.7716
-- Precision: 0.8261
-- Recall: 0.7238
+- Loss: 0.9425
+- Accuracy: 0.8465
+- F1: 0.8
+- Precision: 0.8667
+- Recall: 0.7429
 
 ## Model description
 
@@ -54,16 +54,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 0.6706        | 1.0   | 64   | 0.5822          | 0.6811   | 0.5424 | 0.6667    | 0.4571 |
-| 0.5059        | 2.0   | 128  | 0.5081          | 0.7520   | 0.6595 | 0.7625    | 0.5810 |
-| 0.2901        | 3.0   | 192  | 0.5731          | 0.8465   | 0.7958 | 0.8837    | 0.7238 |
-| 0.2094        | 4.0   | 256  | 0.7700          | 0.8189   | 0.7629 | 0.8315    | 0.7048 |
-| 0.1235        | 5.0   | 320  | 1.0102          | 0.8150   | 0.7459 | 0.8625    | 0.6571 |
-| 0.0435        | 6.0   | 384  | 1.0899          | 0.8268   | 0.7755 | 0.8352    | 0.7238 |
-| 0.0099        | 7.0   | 448  | 1.2422          | 0.8268   | 0.7582 | 0.8961    | 0.6571 |
-| 0.0111        | 8.0   | 512  | 1.2646          | 0.8386   | 0.7760 | 0.9103    | 0.6762 |
-| 0.0023        | 9.0   | 576  | 1.2875          | 0.8228   | 0.7783 | 0.8061    | 0.7524 |
-| 0.003         | 10.0  | 640  | 1.3065          | 0.8228   | 0.7716 | 0.8261    | 0.7238 |
+| 0.6431        | 1.0   | 64   | 0.5474          | 0.7362   | 0.6171 | 0.7714    | 0.5143 |
+| 0.4576        | 2.0   | 128  | 0.5103          | 0.7795   | 0.7358 | 0.7290    | 0.7429 |
+| 0.2933        | 3.0   | 192  | 0.5647          | 0.8228   | 0.7619 | 0.8571    | 0.6857 |
+| 0.198         | 4.0   | 256  | 0.6377          | 0.8346   | 0.7742 | 0.8889    | 0.6857 |
+| 0.113         | 5.0   | 320  | 0.6867          | 0.8504   | 0.7935 | 0.9241    | 0.6952 |
+| 0.057         | 6.0   | 384  | 0.8875          | 0.8189   | 0.7788 | 0.7864    | 0.7714 |
+| 0.0282        | 7.0   | 448  | 0.9361          | 0.8346   | 0.7879 | 0.8387    | 0.7429 |
+| 0.0234        | 8.0   | 512  | 1.0229          | 0.8228   | 0.7826 | 0.7941    | 0.7714 |
+| 0.0095        | 9.0   | 576  | 0.9131          | 0.8622   | 0.8168 | 0.9070    | 0.7429 |
+| 0.0101        | 10.0  | 640  | 0.9425          | 0.8465   | 0.8    | 0.8667    | 0.7429 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3063c17b6897e443c5fec7859224570493d130a3b52b2d6abbaa417f948e075a
+oid sha256:0348eec658e1d96f07cdd0e21fa4b10f8521fceba28b4684377823df4a7da290
 size 1112205008

runs/Jul04_22-13-34_raul-MS-7B98/events.out.tfevents.1720149222.raul-MS-7B98.5482.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7a9f45924eb4e506522d871c6313eb1d65a1f4d92ed5f792965d00456bc85d98
-size 11151
+oid sha256:4b9fd21468e8f614e002ae640aba6e3a6009591bc549ae993ab0870c49cc4860
+size 12188