Training in progress epoch 73

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: 8.1197
-- Train Accuracy: 0.0234
-- Validation Loss: 8.1078
-- Validation Accuracy: 0.0221
-- Epoch: 71
+- Train Loss: 8.1013
+- Train Accuracy: 0.0231
+- Validation Loss: 8.0794
+- Validation Accuracy: 0.0222
+- Epoch: 73
 
 ## Model description
 
@@ -116,6 +116,8 @@ The following hyperparameters were used during training:
 | 8.1675     | 0.0229         | 8.1275          | 0.0222              | 69    |
 | 8.1432     | 0.0229         | 8.1374          | 0.0217              | 70    |
 | 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    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a2d0c3db5e5dfe1ddd762289c69bf2c99a5097508d44fa28f87ad1bfd9c01eb5
+oid sha256:cc1f07234f14a657b812018f94fac467278504e0c83438116c8a5407c4019063
 size 499741936