Training in progress epoch 22

README.md

@@ -15,11 +15,11 @@ 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: 7.4589
-- Train Accuracy: 0.0262
-- Validation Loss: 7.4136
-- Validation Accuracy: 0.0255
-- Epoch: 21
+- Train Loss: 7.3658
+- Train Accuracy: 0.0269
+- Validation Loss: 7.2941
+- Validation Accuracy: 0.0265
+- Epoch: 22
 
 ## Model description
 
@@ -67,6 +67,7 @@ The following hyperparameters were used during training:
 | 7.6206     | 0.0250         | 7.5579          | 0.0246              | 19    |
 | 7.5231     | 0.0258         | 7.4564          | 0.0254              | 20    |
 | 7.4589     | 0.0262         | 7.4136          | 0.0255              | 21    |
+| 7.3658     | 0.0269         | 7.2941          | 0.0265              | 22    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:47b387c2dd011135a4fedf5c501321ae6d3610c4ad2e9af52d4a36c52cbfd904
 size 499741936