Training in progress epoch 25

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: 7.2832
-- Train Accuracy: 0.0274
-- Validation Loss: 7.1998
-- Validation Accuracy: 0.0270
-- Epoch: 23
+- Train Loss: 7.1116
+- Train Accuracy: 0.0280
+- Validation Loss: 7.0582
+- Validation Accuracy: 0.0269
+- Epoch: 25
 
 ## Model description
 
@@ -69,6 +69,8 @@ The following hyperparameters were used during training:
 | 7.4589     | 0.0262         | 7.4136          | 0.0255              | 21    |
 | 7.3658     | 0.0269         | 7.2941          | 0.0265              | 22    |
 | 7.2832     | 0.0274         | 7.1998          | 0.0270              | 23    |
+| 7.2035     | 0.0275         | 7.1203          | 0.0271              | 24    |
+| 7.1116     | 0.0280         | 7.0582          | 0.0269              | 25    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:ca2d5f9815f639b30d4a497d014605d53df1c111ecf507b25e54b86b47b5098d
 size 499741936