Training in progress epoch 46

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: 1.2390
-- Train Accuracy: 0.1088
-- Validation Loss: 1.1777
-- Validation Accuracy: 0.1101
-- Epoch: 45
+- Train Loss: 1.2305
+- Train Accuracy: 0.1090
+- Validation Loss: 1.1738
+- Validation Accuracy: 0.1111
+- Epoch: 46
 
 ## Model description
 
@@ -90,6 +90,7 @@ The following hyperparameters were used during training:
 | 1.2570     | 0.1084         | 1.1709          | 0.1107              | 43    |
 | 1.2478     | 0.1086         | 1.1709          | 0.1104              | 44    |
 | 1.2390     | 0.1088         | 1.1777          | 0.1101              | 45    |
+| 1.2305     | 0.1090         | 1.1738          | 0.1111              | 46    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:4e960595e3fc5a6a306d6209371ae6c179770aa6230cca047a6b9f430351c0fc
 size 499741936