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: 0.0562
-- Validation Loss: 0.0600
-- Train Precision: 0.9113
-- Train Recall: 0.9107
-- Train F1: 0.9110
-- Train Accuracy: 0.9795
-- Epoch: 1
+- Train Loss: 0.0378
+- Validation Loss: 0.0597
+- Train Precision: 0.9157
+- Train Recall: 0.9151
+- Train F1: 0.9154
+- Train Accuracy: 0.9807
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.1337     | 0.0709          | 0.8861          | 0.8913       | 0.8887   | 0.9753         | 0     |
 | 0.0562     | 0.0600          | 0.9113          | 0.9107       | 0.9110   | 0.9795         | 1     |
+| 0.0378     | 0.0597          | 0.9157          | 0.9151       | 0.9154   | 0.9807         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:34935530fd497c13ffd31d69259f8514725b0ec7664874aa5c7576335a54ca28
 size 265600272