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: 0.0427
-- Validation Loss: 0.0479
-- Train Precision: 0.9227
-- Train Recall: 0.9360
-- Train F1: 0.9293
-- Train Accuracy: 0.9867
-- Epoch: 1
+- Train Loss: 0.0271
+- Validation Loss: 0.0483
+- Train Precision: 0.9252
+- Train Recall: 0.9382
+- Train F1: 0.9317
+- Train Accuracy: 0.9868
+- Epoch: 2
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.1611     | 0.0606          | 0.8987          | 0.9164       | 0.9074   | 0.9830         | 0     |
 | 0.0427     | 0.0479          | 0.9227          | 0.9360       | 0.9293   | 0.9867         | 1     |
+| 0.0271     | 0.0483          | 0.9252          | 0.9382       | 0.9317   | 0.9868         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:4957763fcc4481d06cde4589bb4dfad6d4b8f080c3ae5b1c80530dbf2e04e363
 size 265606504