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: 0.1717
-- Validation Loss: 0.2844
-- Train Precision: 0.5421
-- Train Recall: 0.3158
-- Train F1: 0.3991
-- Train Accuracy: 0.9399
-- Epoch: 1
+- Train Loss: 0.1309
+- Validation Loss: 0.2642
+- Train Precision: 0.5838
+- Train Recall: 0.3792
+- Train F1: 0.4598
+- Train Accuracy: 0.9440
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.3520     | 0.3146          | 0.4870          | 0.1567       | 0.2371   | 0.9304         | 0     |
 | 0.1717     | 0.2844          | 0.5421          | 0.3158       | 0.3991   | 0.9399         | 1     |
+| 0.1309     | 0.2642          | 0.5838          | 0.3792       | 0.4598   | 0.9440         | 2     |
 
 
 ### Framework versions

tf_model.h5

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