Training in progress epoch 3

README.md

@@ -14,16 +14,16 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-uncased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1572
-- Validation Loss: 0.1686
-- Train Accuracy: 0.9315
-- Train Precision: [0.94412331 0.8463357 ]
-- Train Precision W: 0.9287
-- Train Recall: [0.97644928 0.69178744]
-- Train Recall W: 0.9315
-- Train F1: [0.96001425 0.76129718]
-- Train F1 W: 0.9286
-- Epoch: 2
+- Train Loss: 0.1028
+- Validation Loss: 0.2179
+- Train Accuracy: 0.9222
+- Train Precision: [0.92357119 0.90951638]
+- Train Precision W: 0.9214
+- Train Recall: [0.98949275 0.56328502]
+- Train Recall W: 0.9222
+- Train F1: [0.95539619 0.69570406]
+- Train F1 W: 0.9144
+- Epoch: 3
 
 ## Model description
 
@@ -51,6 +51,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:--------------:|:-----------------------:|:-----------------:|:-----------------------:|:--------------:|:-----------------------:|:----------:|:-----:|
 | 0.4028     | 0.2959          | 0.8429         | [0.84274809 1.        ] | 0.8676            | [1.         0.00483092] | 0.8429         | [0.91466446 0.00961538] | 0.7718     | 1     |
 | 0.1572     | 0.1686          | 0.9315         | [0.94412331 0.8463357 ] | 0.9287            | [0.97644928 0.69178744] | 0.9315         | [0.96001425 0.76129718] | 0.9286     | 2     |
+| 0.1028     | 0.2179          | 0.9222         | [0.92357119 0.90951638] | 0.9214            | [0.98949275 0.56328502] | 0.9222         | [0.95539619 0.69570406] | 0.9144     | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ae2ded73278439a37e919f435cc1c0583ad34deae21ee3bbefd3a32df804fc57
+oid sha256:ad524341f454f097e8fdbdd21cb4b3be00960db47ab6fb47aabfc5338f7b6342
 size 439697688