Training in progress epoch 1

README.md

@@ -14,13 +14,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1958
-- Validation Loss: 0.0662
-- Train Precision: 0.9016
-- Train Recall: 0.9142
-- Train F1: 0.9078
-- Train Accuracy: 0.9813
-- Epoch: 0
+- Train Loss: 0.0516
+- Validation Loss: 0.0592
+- Train Precision: 0.9147
+- Train Recall: 0.9313
+- Train F1: 0.9229
+- Train Accuracy: 0.9832
+- Epoch: 1
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.1958     | 0.0662          | 0.9016          | 0.9142       | 0.9078   | 0.9813         | 0     |
+| 0.0516     | 0.0592          | 0.9147          | 0.9313       | 0.9229   | 0.9832         | 1     |
 
 
 ### Framework versions

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tf_model.h5

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