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: 0.1481
-- Validation Loss: 0.2538
-- Train Precision: 0.6762
-- Train Recall: 0.4222
-- Train F1: 0.5199
-- Train Accuracy: 0.9463
-- Epoch: 1
+- Train Loss: 0.1091
+- Validation Loss: 0.2475
+- Train Precision: 0.6737
+- Train Recall: 0.4593
+- Train F1: 0.5462
+- Train Accuracy: 0.9497
+- Epoch: 2
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.3240     | 0.3014          | 0.5             | 0.1782       | 0.2628   | 0.9325         | 0     |
 | 0.1481     | 0.2538          | 0.6762          | 0.4222       | 0.5199   | 0.9463         | 1     |
+| 0.1091     | 0.2475          | 0.6737          | 0.4593       | 0.5462   | 0.9497         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:6b2d544ed7649468f50bc37c0a2d4271ff00c20e4ad0de73cdb733755ffb545b
 size 265618704