Training in progress epoch 2

README.md

@@ -15,13 +15,13 @@ 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: 0.0404
-- Validation Loss: 0.0550
-- Train Precision: 0.9261
-- Train Recall: 0.9413
-- Train F1: 0.9336
-- Train Accuracy: 0.9846
-- Epoch: 1
+- Train Loss: 0.0210
+- Validation Loss: 0.0570
+- Train Precision: 0.9300
+- Train Recall: 0.9394
+- Train F1: 0.9347
+- Train Accuracy: 0.9847
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.1337     | 0.0643          | 0.9133          | 0.9295       | 0.9213   | 0.9817         | 0     |
 | 0.0404     | 0.0550          | 0.9261          | 0.9413       | 0.9336   | 0.9846         | 1     |
+| 0.0210     | 0.0570          | 0.9300          | 0.9394       | 0.9347   | 0.9847         | 2     |
 
 
 ### Framework versions

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tf_model.h5

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