Training in progress epoch 2

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: 0.1626
-- Validation Loss: 0.2656
-- Train Precision: 0.5075
-- Train Recall: 0.3648
-- Train F1: 0.4245
-- Train Accuracy: 0.9418
-- Epoch: 1
+- Train Loss: 0.1251
+- Validation Loss: 0.2613
+- Train Precision: 0.5636
+- Train Recall: 0.4079
+- Train F1: 0.4733
+- Train Accuracy: 0.9449
+- Epoch: 2
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.3473     | 0.3059          | 0.3825          | 0.2667       | 0.3143   | 0.9352         | 0     |
 | 0.1626     | 0.2656          | 0.5075          | 0.3648       | 0.4245   | 0.9418         | 1     |
+| 0.1251     | 0.2613          | 0.5636          | 0.4079       | 0.4733   | 0.9449         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 265618704