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: 0.5050
-- Validation Loss: 0.5447
-- Train Precision: 0.6506
-- Train Recall: 0.6243
-- Train F1: 0.6325
-- Train Accuracy: 0.8489
-- Epoch: 1
+- Train Loss: 0.3584
+- Validation Loss: 0.4823
+- Train Precision: 0.6518
+- Train Recall: 0.6619
+- Train F1: 0.6558
+- Train Accuracy: 0.8620
+- Epoch: 2
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 1.1440     | 0.6108          | 0.5739          | 0.5788       | 0.5727   | 0.8367         | 0     |
 | 0.5050     | 0.5447          | 0.6506          | 0.6243       | 0.6325   | 0.8489         | 1     |
+| 0.3584     | 0.4823          | 0.6518          | 0.6619       | 0.6558   | 0.8620         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:b8ac600268da9b444a42fbd8f88974d9a8c31229e0ac6e4cb103741835af362c
 size 268010440