Training in progress epoch 289

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: 0.7721
-- Train Accuracy: 0.1204
-- Validation Loss: 0.8164
-- Validation Accuracy: 0.1203
-- Epoch: 288
+- Train Loss: 0.7719
+- Train Accuracy: 0.1203
+- Validation Loss: 0.8359
+- Validation Accuracy: 0.1205
+- Epoch: 289
 
 ## Model description
 
@@ -333,6 +333,7 @@ The following hyperparameters were used during training:
 | 0.7733     | 0.1204         | 0.8125          | 0.1199              | 286   |
 | 0.7720     | 0.1204         | 0.8228          | 0.1201              | 287   |
 | 0.7721     | 0.1204         | 0.8164          | 0.1203              | 288   |
+| 0.7719     | 0.1203         | 0.8359          | 0.1205              | 289   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:9b9d204f11d32afc8043d29de3f57417e9a8a43ce68fadff069e82683f6701ab
 size 499741936