Training in progress epoch 2

README.md

@@ -14,11 +14,11 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1023
-- Train Accuracy: 0.9524
-- Validation Loss: 0.1360
-- Validation Accuracy: 0.9524
-- Epoch: 1
+- Train Loss: 0.0449
+- Train Accuracy: 0.9547
+- Validation Loss: 0.1589
+- Validation Accuracy: 0.9547
+- Epoch: 2
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
 | 0.2035     | 0.9432         | 0.1493          | 0.9432              | 0     |
 | 0.1023     | 0.9524         | 0.1360          | 0.9524              | 1     |
+| 0.0449     | 0.9547         | 0.1589          | 0.9547              | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:23993b8a9d82e0a8b5f617e6f3a4077697e991badac7dca0946629f6ad5de795
+oid sha256:af73957cfd7c994ee805390e0b70b5c79a0133b1e39e38c853b96e4326f145d9
 size 498878272