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/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1550
-- Validation Loss: 0.2591
-- Train Precision: 0.5387
-- Train Recall: 0.3744
-- Train F1: 0.4418
-- Train Accuracy: 0.9433
-- Epoch: 1
+- Train Loss: 0.1137
+- Validation Loss: 0.2552
+- Train Precision: 0.5898
+- Train Recall: 0.4163
+- Train F1: 0.4881
+- Train Accuracy: 0.9467
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.3393     | 0.3197          | 0.3455          | 0.0455       | 0.0803   | 0.9248         | 0     |
 | 0.1550     | 0.2591          | 0.5387          | 0.3744       | 0.4418   | 0.9433         | 1     |
+| 0.1137     | 0.2552          | 0.5898          | 0.4163       | 0.4881   | 0.9467         | 2     |
 
 
 ### Framework versions

tf_model.h5

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