Training in progress epoch 1

README.md

@@ -15,17 +15,17 @@ probably proofread and complete it, then remove this comment. -->
 
 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.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.2270
-- Train Accuracy: 0.9119
-- Train F1 M: 0.5181
-- Train Precision M: 0.3865
-- Train Recall M: 0.8561
-- Validation Loss: 0.1618
-- Validation Accuracy: 0.9367
-- Validation F1 M: 0.5592
-- Validation Precision M: 0.4050
-- Validation Recall M: 0.9478
-- Epoch: 0
+- Train Loss: 0.1186
+- Train Accuracy: 0.9551
+- Train F1 M: 0.5516
+- Train Precision M: 0.4007
+- Train Recall M: 0.9397
+- Validation Loss: 0.1621
+- Validation Accuracy: 0.9347
+- Validation F1 M: 0.5628
+- Validation Precision M: 0.4068
+- Validation Recall M: 0.9580
+- Epoch: 1
 
 ## Model description
 
@@ -52,6 +52,7 @@ The following hyperparameters were used during training:
 | Train Loss | Train Accuracy | Train F1 M | Train Precision M | Train Recall M | Validation Loss | Validation Accuracy | Validation F1 M | Validation Precision M | Validation Recall M | Epoch |
 |:----------:|:--------------:|:----------:|:-----------------:|:--------------:|:---------------:|:-------------------:|:---------------:|:----------------------:|:-------------------:|:-----:|
 | 0.2270     | 0.9119         | 0.5181     | 0.3865            | 0.8561         | 0.1618          | 0.9367              | 0.5592          | 0.4050                 | 0.9478              | 0     |
+| 0.1186     | 0.9551         | 0.5516     | 0.4007            | 0.9397         | 0.1621          | 0.9347              | 0.5628          | 0.4068                 | 0.9580              | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:96b47a192aaa1364e30650d86d1d8b6231b515daee396574d7711f14d25045ce
 size 435986712