Training in progress epoch 28

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: 6.9296
-- Train Accuracy: 0.0294
-- Validation Loss: 6.8759
-- Validation Accuracy: 0.0287
-- Epoch: 27
+- Train Loss: 6.8524
+- Train Accuracy: 0.0296
+- Validation Loss: 6.8272
+- Validation Accuracy: 0.0285
+- Epoch: 28
 
 ## Model description
 
@@ -73,6 +73,7 @@ The following hyperparameters were used during training:
 | 7.1116     | 0.0280         | 7.0582          | 0.0269              | 25    |
 | 7.0099     | 0.0287         | 6.9567          | 0.0287              | 26    |
 | 6.9296     | 0.0294         | 6.8759          | 0.0287              | 27    |
+| 6.8524     | 0.0296         | 6.8272          | 0.0285              | 28    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:293ce01dc265c9a4c893277225d1e9887d71893c6aa35baf357a5216f0dba5fa
 size 499741936