Training in progress epoch 2

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: 0.2010
-- Validation Loss: 0.7379
-- Train Accuracy: 0.7400
-- Train Precision: [0.71450617 0.99236641]
-- Train Precision W: 0.8119
-- Train Recall: [0.99892125 0.26      ]
-- Train Recall W: 0.7400
-- Train F1: [0.83310841 0.41204437]
-- Train F1 W: 0.6856
-- Epoch: 1
+- Train Loss: 0.1127
+- Validation Loss: 0.4136
+- Train Accuracy: 0.7982
+- Train Precision: [0.76339654 0.9953271 ]
+- Train Precision W: 0.8447
+- Train Recall: [0.99892125 0.426     ]
+- Train Recall W: 0.7982
+- Train F1: [0.86542056 0.59663866]
+- Train F1 W: 0.7712
+- Epoch: 2
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Train Precision         | Train Precision W | Train Recall            | Train Recall W | Train F1                | Train F1 W | Epoch |
 |:----------:|:---------------:|:--------------:|:-----------------------:|:-----------------:|:-----------------------:|:--------------:|:-----------------------:|:----------:|:-----:|
 | 0.2010     | 0.7379          | 0.7400         | [0.71450617 0.99236641] | 0.8119            | [0.99892125 0.26      ] | 0.7400         | [0.83310841 0.41204437] | 0.6856     | 1     |
+| 0.1127     | 0.4136          | 0.7982         | [0.76339654 0.9953271 ] | 0.8447            | [0.99892125 0.426     ] | 0.7982         | [0.86542056 0.59663866] | 0.7712     | 2     |
 
 
 ### Framework versions

tf_model.h5

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