Training in progress epoch 45

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: 1.2478
-- Train Accuracy: 0.1086
-- Validation Loss: 1.1709
-- Validation Accuracy: 0.1104
-- Epoch: 44
+- Train Loss: 1.2390
+- Train Accuracy: 0.1088
+- Validation Loss: 1.1777
+- Validation Accuracy: 0.1101
+- Epoch: 45
 
 ## Model description
 
@@ -89,6 +89,7 @@ The following hyperparameters were used during training:
 | 1.2674     | 0.1081         | 1.1787          | 0.1114              | 42    |
 | 1.2570     | 0.1084         | 1.1709          | 0.1107              | 43    |
 | 1.2478     | 0.1086         | 1.1709          | 0.1104              | 44    |
+| 1.2390     | 0.1088         | 1.1777          | 0.1101              | 45    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:c19819ed00f3fc0770162c9344256338104a0b15bea9ccfa15e32e7636c418e4
 size 499741936