Training in progress epoch 63

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: 8.2446
-- Train Accuracy: 0.0233
-- Validation Loss: 8.2135
-- Validation Accuracy: 0.0223
-- Epoch: 61
+- Train Loss: 8.2022
+- Train Accuracy: 0.0237
+- Validation Loss: 8.1996
+- Validation Accuracy: 0.0222
+- Epoch: 63
 
 ## Model description
 
@@ -106,6 +106,8 @@ The following hyperparameters were used during training:
 | 8.2648     | 0.0233         | 8.2336          | 0.0223              | 59    |
 | 8.2714     | 0.0225         | 8.2321          | 0.0221              | 60    |
 | 8.2446     | 0.0233         | 8.2135          | 0.0223              | 61    |
+| 8.2303     | 0.0230         | 8.1980          | 0.0223              | 62    |
+| 8.2022     | 0.0237         | 8.1996          | 0.0222              | 63    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:3feceb4a5bac55ee6b4d096fe833c415073bf4804bc458b01eac0f3325250fed
 size 499741936