Training in progress epoch 77

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: 8.0661
-- Train Accuracy: 0.0233
-- Validation Loss: 8.0573
+- Train Loss: 8.0307
+- Train Accuracy: 0.0235
+- Validation Loss: 8.0278
 - Validation Accuracy: 0.0222
-- Epoch: 75
+- Epoch: 77
 
 ## Model description
 
@@ -120,6 +120,8 @@ The following hyperparameters were used during training:
 | 8.1013     | 0.0231         | 8.0794          | 0.0222              | 73    |
 | 8.0887     | 0.0228         | 8.0720          | 0.0221              | 74    |
 | 8.0661     | 0.0233         | 8.0573          | 0.0222              | 75    |
+| 8.0548     | 0.0231         | 8.0313          | 0.0226              | 76    |
+| 8.0307     | 0.0235         | 8.0278          | 0.0222              | 77    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b1fca96169f52e5f9eb682f29650267a9a9f2775811c22413f20272c38bf4d6b
+oid sha256:3f8e022c629f6fb8c91017aa27bb0f190e39347f7f2eace338b05741a2e3739c
 size 499741936