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: 0.1715
-- Validation Loss: 0.2791
-- Train Precision: 0.4513
-- Train Recall: 0.3050
-- Train F1: 0.3640
-- Train Accuracy: 0.9385
-- Epoch: 1
+- Train Loss: 0.1257
+- Validation Loss: 0.2667
+- Train Precision: 0.5476
+- Train Recall: 0.3923
+- Train F1: 0.4571
+- Train Accuracy: 0.9438
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.3497     | 0.3273          | 0.3151          | 0.0275       | 0.0506   | 0.9219         | 0     |
 | 0.1715     | 0.2791          | 0.4513          | 0.3050       | 0.3640   | 0.9385         | 1     |
+| 0.1257     | 0.2667          | 0.5476          | 0.3923       | 0.4571   | 0.9438         | 2     |
 
 
 ### Framework versions

tf_model.h5

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