Training in progress epoch 140

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: 0.8929
-- Train Accuracy: 0.1172
-- Validation Loss: 0.8804
-- Validation Accuracy: 0.1180
-- Epoch: 139
+- Train Loss: 0.8915
+- Train Accuracy: 0.1173
+- Validation Loss: 0.8848
+- Validation Accuracy: 0.1183
+- Epoch: 140
 
 ## Model description
 
@@ -184,6 +184,7 @@ The following hyperparameters were used during training:
 | 0.8957     | 0.1172         | 0.8857          | 0.1181              | 137   |
 | 0.8948     | 0.1172         | 0.9019          | 0.1172              | 138   |
 | 0.8929     | 0.1172         | 0.8804          | 0.1180              | 139   |
+| 0.8915     | 0.1173         | 0.8848          | 0.1183              | 140   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:da668a0e0aad410e93d15833d894a982dd57b1c41ed14873205b89d62abed351
 size 499741936