Training in progress epoch 23

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: 4.6570
-- Train Accuracy: 0.0449
-- Validation Loss: 4.7031
-- Validation Accuracy: 0.0437
-- Epoch: 22
+- Train Loss: 4.6486
+- Train Accuracy: 0.0450
+- Validation Loss: 4.6758
+- Validation Accuracy: 0.0446
+- Epoch: 23
 
 ## Model description
 
@@ -67,6 +67,7 @@ The following hyperparameters were used during training:
 | 4.6789     | 0.0449         | 4.6914          | 0.0444              | 20    |
 | 4.6689     | 0.0449         | 4.7031          | 0.0439              | 21    |
 | 4.6570     | 0.0449         | 4.7031          | 0.0437              | 22    |
+| 4.6486     | 0.0450         | 4.6758          | 0.0446              | 23    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:e8da8291f87ba19b63d2284d9a3d38750f243b323b7b63fe09137ab735b0c8f0
 size 499741936