Training in progress epoch 15

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: 7.9960
-- Train Accuracy: 0.0228
-- Validation Loss: 7.9144
-- Validation Accuracy: 0.0224
-- Epoch: 14
+- Train Loss: 7.9065
+- Train Accuracy: 0.0231
+- Validation Loss: 7.8661
+- Validation Accuracy: 0.0221
+- Epoch: 15
 
 ## Model description
 
@@ -60,6 +60,7 @@ The following hyperparameters were used during training:
 | 8.1285     | 0.0229         | 8.0806          | 0.0219              | 12    |
 | 8.0345     | 0.0234         | 8.0030          | 0.0220              | 13    |
 | 7.9960     | 0.0228         | 7.9144          | 0.0224              | 14    |
+| 7.9065     | 0.0231         | 7.8661          | 0.0221              | 15    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c23b96a80f2083c905fadde8187540ddc18334289bb5966c4df34a6214608987
+oid sha256:c3f097e28d36a3e242ed62ba70b4ed3ed8bcde42a13f5e13a241844a39e8c90a
 size 499741936