Training in progress epoch 83

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: 1.0664
+- Train Loss: 1.0643
 - Train Accuracy: 0.1129
-- Validation Loss: 1.0269
-- Validation Accuracy: 0.1139
-- Epoch: 82
+- Validation Loss: 1.0156
+- Validation Accuracy: 0.1146
+- Epoch: 83
 
 ## Model description
 
@@ -127,6 +127,7 @@ The following hyperparameters were used during training:
 | 1.0716     | 0.1128         | 1.0400          | 0.1137              | 80    |
 | 1.0688     | 0.1129         | 1.0225          | 0.1140              | 81    |
 | 1.0664     | 0.1129         | 1.0269          | 0.1139              | 82    |
+| 1.0643     | 0.1129         | 1.0156          | 0.1146              | 83    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:023251d71e3e39a5f49021dfcf1ffaa0243d3ae0f68cdf7d517e7cf9c8c0f3a7
+oid sha256:51fa9234df64391a9a6071e20b71cda7ce4eb2a0ca1cb9990eb3c8cac2ceeefd
 size 499741936