Training in progress epoch 2

README.md

@@ -15,14 +15,14 @@ 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: 0.5919
-- Train Accuracy: 0.8635
-- Validation Loss: 0.3998
-- Validation Accuracy: 0.8635
-- Train Precision: 0.8635
-- Train Recall: 0.8635
-- Train F1: 0.8618
-- Epoch: 1
+- Train Loss: 0.3174
+- Train Accuracy: 0.899
+- Validation Loss: 0.3158
+- Validation Accuracy: 0.8990
+- Train Precision: 0.9000
+- Train Recall: 0.899
+- Train F1: 0.8974
+- Epoch: 2
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 |:----------:|:--------------:|:---------------:|:-------------------:|:---------------:|:------------:|:--------:|:-----:|
 | 1.5173     | 0.691          | 0.8650          | 0.6910              | 0.6989          | 0.691        | 0.6859   | 0     |
 | 0.5919     | 0.8635         | 0.3998          | 0.8635              | 0.8635          | 0.8635       | 0.8618   | 1     |
+| 0.3174     | 0.899          | 0.3158          | 0.8990              | 0.9000          | 0.899        | 0.8974   | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:69dfc963813995c77df29b32d328eecef451a244936736da51c5f7c090d42372
+oid sha256:7eb700ee94ec15a8dba6b3c558f3fce45b935f8e9ea5dd6098ac9232f6df2b24
 size 328641624