Training in progress epoch 2

README.md

@@ -16,14 +16,14 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1720
-- Train Accuracy: 0.9375
-- Validation Loss: 0.1780
-- Validation Accuracy: 0.9375
-- Train Precision: 0.9396
-- Train Recall: 0.9375
-- Train F1: 0.9371
-- Epoch: 1
+- Train Loss: 0.1343
+- Train Accuracy: 0.9385
+- Validation Loss: 0.1797
+- Validation Accuracy: 0.9385
+- Train Precision: 0.9410
+- Train Recall: 0.9385
+- Train F1: 0.9379
+- Epoch: 2
 
 ## Model description
 
@@ -51,6 +51,7 @@ The following hyperparameters were used during training:
 |:----------:|:--------------:|:---------------:|:-------------------:|:---------------:|:------------:|:--------:|:-----:|
 | 0.4750     | 0.9315         | 0.2028          | 0.9315              | 0.9325          | 0.9315       | 0.9312   | 0     |
 | 0.1720     | 0.9375         | 0.1780          | 0.9375              | 0.9396          | 0.9375       | 0.9371   | 1     |
+| 0.1343     | 0.9385         | 0.1797          | 0.9385              | 0.9410          | 0.9385       | 0.9379   | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c10ca01df634d984812ea2d4f378bcaa3990e2211171d61af6a93602ad21bcbd
+oid sha256:4692158142df40a78af772ab51b87504c9a62964ba57406406536f311de05bd0
 size 328641624