End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: mit
-base_model: neuralmind/bert-base-portuguese-cased
+base_model: xlm-roberta-base
 tags:
 - generated_from_trainer
 metrics:
@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # tweets_2013_2020
 
-This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on an unknown dataset.
+This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3033
-- Accuracy: 0.8317
+- Loss: 0.2936
+- Accuracy: 0.8064
 
 ## Model description
 
@@ -49,8 +49,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2275        | 1.0   | 818  | 0.2741          | 0.8259   |
-| 0.1565        | 2.0   | 1636 | 0.3033          | 0.8317   |
+| 0.4399        | 1.0   | 818  | 0.3087          | 0.7939   |
+| 0.2915        | 2.0   | 1636 | 0.2936          | 0.8064   |
 
 
 ### Framework versions

runs/Jul30_20-06-43_82c768156721/events.out.tfevents.1722370004.82c768156721.975.0

@@ -1,3 +1,3 @@
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-size 5981
+oid sha256:8516e0804126b1e669e8c8b03be363bc92ed24a6022c3e11f4b94dbe5e3cf85f
+size 6658