Training in progress epoch 75

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: 8.1013
-- Train Accuracy: 0.0231
-- Validation Loss: 8.0794
+- Train Loss: 8.0661
+- Train Accuracy: 0.0233
+- Validation Loss: 8.0573
 - Validation Accuracy: 0.0222
-- Epoch: 73
+- Epoch: 75
 
 ## Model description
 
@@ -118,6 +118,8 @@ The following hyperparameters were used during training:
 | 8.1197     | 0.0234         | 8.1078          | 0.0221              | 71    |
 | 8.1046     | 0.0232         | 8.0991          | 0.0221              | 72    |
 | 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    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cc1f07234f14a657b812018f94fac467278504e0c83438116c8a5407c4019063
+oid sha256:b1fca96169f52e5f9eb682f29650267a9a9f2775811c22413f20272c38bf4d6b
 size 499741936