End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: mit
-base_model: neuralmind/bert-large-portuguese-cased
+base_model: PORTULAN/albertina-100m-portuguese-ptpt-encoder
 tags:
 - generated_from_trainer
 metrics:
@@ -9,22 +9,22 @@ metrics:
 - precision
 - recall
 model-index:
-- name: LVI_bert-large-portuguese-cased
+- name: LVI_albertina-100m-portuguese-ptpt-encoder
   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. -->
 
-# LVI_bert-large-portuguese-cased
+# LVI_albertina-100m-portuguese-ptpt-encoder
 
-This model is a fine-tuned version of [neuralmind/bert-large-portuguese-cased](https://huggingface.co/neuralmind/bert-large-portuguese-cased) on the None dataset.
+This model is a fine-tuned version of [PORTULAN/albertina-100m-portuguese-ptpt-encoder](https://huggingface.co/PORTULAN/albertina-100m-portuguese-ptpt-encoder) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0755
-- Accuracy: 0.9775
-- F1: 0.9775
-- Precision: 0.9758
-- Recall: 0.9793
+- Loss: 0.1867
+- Accuracy: 0.9802
+- F1: 0.9800
+- Precision: 0.9905
+- Recall: 0.9696
 
 ## Model description
 
@@ -53,9 +53,17 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 0.1071        | 1.0   | 3217 | 0.0755          | 0.9775   | 0.9775 | 0.9758    | 0.9793 |
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.1284        | 1.0   | 3217  | 0.1454          | 0.9581   | 0.9567 | 0.9882    | 0.9272 |
+| 0.0946        | 2.0   | 6434  | 0.1211          | 0.9737   | 0.9734 | 0.9864    | 0.9607 |
+| 0.0575        | 3.0   | 9651  | 0.1087          | 0.9776   | 0.9774 | 0.9892    | 0.9659 |
+| 0.0374        | 4.0   | 12868 | 0.1033          | 0.981    | 0.9809 | 0.9854    | 0.9765 |
+| 0.0311        | 5.0   | 16085 | 0.1154          | 0.981    | 0.9808 | 0.9896    | 0.9722 |
+| 0.0125        | 6.0   | 19302 | 0.1143          | 0.9830   | 0.9830 | 0.9833    | 0.9826 |
+| 0.0107        | 7.0   | 22519 | 0.1562          | 0.9807   | 0.9805 | 0.9910    | 0.9702 |
+| 0.0032        | 8.0   | 25736 | 0.1711          | 0.9808   | 0.9806 | 0.9892    | 0.9721 |
+| 0.0036        | 9.0   | 28953 | 0.1867          | 0.9802   | 0.9800 | 0.9905    | 0.9696 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:52e9e4666d6d81e734958b4ada5253311063fa5efe81eabc409a358a226cbad7
+oid sha256:051dfb67a46d7af8d6b487d10c031643e56109817bf461ee71359f014e0263ec
 size 556799560