Training in progress epoch 81

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: 1.0716
-- Train Accuracy: 0.1128
-- Validation Loss: 1.0400
-- Validation Accuracy: 0.1137
-- Epoch: 80
+- Train Loss: 1.0688
+- Train Accuracy: 0.1129
+- Validation Loss: 1.0225
+- Validation Accuracy: 0.1140
+- Epoch: 81
 
 ## Model description
 
@@ -125,6 +125,7 @@ The following hyperparameters were used during training:
 | 1.0764     | 0.1127         | 1.0366          | 0.1141              | 78    |
 | 1.0741     | 0.1128         | 1.0308          | 0.1134              | 79    |
 | 1.0716     | 0.1128         | 1.0400          | 0.1137              | 80    |
+| 1.0688     | 0.1129         | 1.0225          | 0.1140              | 81    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:dce0984c7d433daf1c7de703c3c3b53bb358146ff8e09dd3e2e4e9de31710371
 size 499741936