Training in progress epoch 48

README.md

@@ -15,11 +15,11 @@ 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: 5.8734
-- Train Accuracy: 0.0343
-- Validation Loss: 5.8471
+- Train Loss: 5.8422
+- Train Accuracy: 0.0344
+- Validation Loss: 5.8152
 - Validation Accuracy: 0.0340
-- Epoch: 46
+- Epoch: 48
 
 ## Model description
 
@@ -92,6 +92,8 @@ The following hyperparameters were used during training:
 | 5.9460     | 0.0335         | 5.9259          | 0.0330              | 44    |
 | 5.9206     | 0.0338         | 5.8926          | 0.0333              | 45    |
 | 5.8734     | 0.0343         | 5.8471          | 0.0340              | 46    |
+| 5.8663     | 0.0341         | 5.8561          | 0.0337              | 47    |
+| 5.8422     | 0.0344         | 5.8152          | 0.0340              | 48    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:09a0a1e4a4fbe942c9e37abbce5915e3c656eda6a3754de20b78412010ed191d
+oid sha256:c6033ce902b5b8d6625c6ff6830cc7f6a4fdde78a53aae0a5b5d087dd46f112b
 size 499741936