Training in progress epoch 71

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: 8.1675
-- Train Accuracy: 0.0229
-- Validation Loss: 8.1275
-- Validation Accuracy: 0.0222
-- Epoch: 69
+- Train Loss: 8.1197
+- Train Accuracy: 0.0234
+- Validation Loss: 8.1078
+- Validation Accuracy: 0.0221
+- Epoch: 71
 
 ## Model description
 
@@ -114,6 +114,8 @@ The following hyperparameters were used during training:
 | 8.1990     | 0.0224         | 8.1586          | 0.0219              | 67    |
 | 8.1395     | 0.0236         | 8.1243          | 0.0225              | 68    |
 | 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    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:681b9de22a25e6f7686383a885a972d3d40c86cdf908aefa0519fb55ba8f5e58
+oid sha256:a2d0c3db5e5dfe1ddd762289c69bf2c99a5097508d44fa28f87ad1bfd9c01eb5
 size 499741936