End of training

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: 0.1637
-- Validation Loss: 0.3637
-- Train Precision: 0.6297
-- Train Recall: 0.2990
-- Train F1: 0.4055
-- Train Accuracy: 0.9154
-- Epoch: 1
+- Train Loss: 0.1241
+- Validation Loss: 0.3433
+- Train Precision: 0.5677
+- Train Recall: 0.3660
+- Train F1: 0.4451
+- Train Accuracy: 0.9215
+- Epoch: 2
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.3454     | 0.4475          | 0.0             | 0.0          | 0.0      | 0.8961         | 0     |
 | 0.1637     | 0.3637          | 0.6297          | 0.2990       | 0.4055   | 0.9154         | 1     |
+| 0.1241     | 0.3433          | 0.5677          | 0.3660       | 0.4451   | 0.9215         | 2     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1659365445.74881bf4022d.34.0.v2

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tf_model.h5

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