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: 0.1617
-- Validation Loss: 0.2656
-- Train Precision: 0.5199
-- Train Recall: 0.3600
-- Train F1: 0.4254
-- Train Accuracy: 0.9409
-- Epoch: 1
+- Train Loss: 0.1232
+- Validation Loss: 0.2581
+- Train Precision: 0.5543
+- Train Recall: 0.4091
+- Train F1: 0.4708
+- Train Accuracy: 0.9444
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.3220     | 0.3166          | 0.3671          | 0.0909       | 0.1457   | 0.9273         | 0     |
 | 0.1617     | 0.2656          | 0.5199          | 0.3600       | 0.4254   | 0.9409         | 1     |
+| 0.1232     | 0.2581          | 0.5543          | 0.4091       | 0.4708   | 0.9444         | 2     |
 
 
 ### Framework versions

tf_model.h5

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