Training in progress epoch 5

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: 0.1358
-- Validation Loss: 0.3080
-- Train Accuracy: 0.88
-- Train Precision: [0.90721649 0.        ]
-- Train Precision W: 0.8256
-- Train Recall: [0.96703297 0.        ]
-- Train Recall W: 0.88
-- Train F1: [0.93617021 0.        ]
-- Train F1 W: 0.8519
-- Epoch: 3
+- Train Loss: 0.0428
+- Validation Loss: 0.4923
+- Train Accuracy: 0.9
+- Train Precision: [0.90909091 0.        ]
+- Train Precision W: 0.8273
+- Train Recall: [0.98901099 0.        ]
+- Train Recall W: 0.9
+- Train F1: [0.94736842 0.        ]
+- Train F1 W: 0.8621
+- Epoch: 5
 
 ## Model description
 
@@ -52,6 +52,8 @@ The following hyperparameters were used during training:
 | 0.6479     | 0.4942          | 0.91           | [0.91 0.  ]             | 0.8281            | [1. 0.]                 | 0.91           | [0.95287958 0.        ] | 0.8671     | 1     |
 | 0.4492     | 0.4305          | 0.8            | [0.9382716  0.21052632] | 0.8728            | [0.83516484 0.44444444] | 0.8            | [0.88372093 0.28571429] | 0.8299     | 2     |
 | 0.1358     | 0.3080          | 0.88           | [0.90721649 0.        ] | 0.8256            | [0.96703297 0.        ] | 0.88           | [0.93617021 0.        ] | 0.8519     | 3     |
+| 0.0545     | 0.3801          | 0.9            | [0.90909091 0.        ] | 0.8273            | [0.98901099 0.        ] | 0.9            | [0.94736842 0.        ] | 0.8621     | 4     |
+| 0.0428     | 0.4923          | 0.9            | [0.90909091 0.        ] | 0.8273            | [0.98901099 0.        ] | 0.9            | [0.94736842 0.        ] | 0.8621     | 5     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:53f75508dd188434a21199174052a4cb1722ff8eb203955095f130c1f531e1cf
 size 439697688