Training in progress epoch 57

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: 1.1782
-- Train Accuracy: 0.1102
-- Validation Loss: 1.1289
-- Validation Accuracy: 0.1111
-- Epoch: 56
+- Train Loss: 1.1698
+- Train Accuracy: 0.1104
+- Validation Loss: 1.1211
+- Validation Accuracy: 0.1117
+- Epoch: 57
 
 ## Model description
 
@@ -101,6 +101,7 @@ The following hyperparameters were used during training:
 | 1.1973     | 0.1098         | 1.1191          | 0.1124              | 54    |
 | 1.1876     | 0.1100         | 1.1260          | 0.1123              | 55    |
 | 1.1782     | 0.1102         | 1.1289          | 0.1111              | 56    |
+| 1.1698     | 0.1104         | 1.1211          | 0.1117              | 57    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0707a4fd0da2b9fb0f274cc9fe8ae4be8c90e3a7bf0564c5b366aca1a1595c64
+oid sha256:f3ab2da826ac7d3dcf4afedb1e2968a598c3e112e14c764cbc7d43f9b7737ab0
 size 499741936