Training in progress epoch 38

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: 6.2609
-- Train Accuracy: 0.0326
-- Validation Loss: 6.2114
-- Validation Accuracy: 0.0321
-- Epoch: 37
+- Train Loss: 6.1866
+- Train Accuracy: 0.0329
+- Validation Loss: 6.1645
+- Validation Accuracy: 0.0320
+- Epoch: 38
 
 ## Model description
 
@@ -83,6 +83,7 @@ The following hyperparameters were used during training:
 | 6.3614     | 0.0321         | 6.3093          | 0.0322              | 35    |
 | 6.2754     | 0.0329         | 6.2240          | 0.0326              | 36    |
 | 6.2609     | 0.0326         | 6.2114          | 0.0321              | 37    |
+| 6.1866     | 0.0329         | 6.1645          | 0.0320              | 38    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:1f553d90f32ee9635845e7f63b9c9413693bc781f6a5953d2bff636123d1426c
 size 499741936