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: 0.4813
-- Train Accuracy: 0.7972
-- Train F1 M: 0.2411
-- Train Precision M: 0.2093
-- Train Recall M: 0.3344
-- Validation Loss: 0.2665
-- Validation Accuracy: 0.9090
-- Validation F1 M: 0.5217
-- Validation Precision M: 0.3877
-- Validation Recall M: 0.8393
-- Epoch: 0
+- Train Loss: 0.2432
+- Train Accuracy: 0.9126
+- Train F1 M: 0.5317
+- Train Precision M: 0.3942
+- Train Recall M: 0.8764
+- Validation Loss: 0.2185
+- Validation Accuracy: 0.9169
+- Validation F1 M: 0.5490
+- Validation Precision M: 0.3979
+- Validation Recall M: 0.9239
+- 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 |
 |:----------:|:--------------:|:----------:|:-----------------:|:--------------:|:---------------:|:-------------------:|:---------------:|:----------------------:|:-------------------:|:-----:|
 | 0.4813     | 0.7972         | 0.2411     | 0.2093            | 0.3344         | 0.2665          | 0.9090              | 0.5217          | 0.3877                 | 0.8393              | 0     |
+| 0.2432     | 0.9126         | 0.5317     | 0.3942            | 0.8764         | 0.2185          | 0.9169              | 0.5490          | 0.3979                 | 0.9239              | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:e9c6a4a966e5ce40813639bfc35a22ec1ee4843bdddae6a37e3d3796002383c8
 size 435986712