Training in progress epoch 32

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: 1.4253
-- Train Accuracy: 0.1046
-- Validation Loss: 1.3223
-- Validation Accuracy: 0.1072
-- Epoch: 31
+- Train Loss: 1.4059
+- Train Accuracy: 0.1050
+- Validation Loss: 1.3096
+- Validation Accuracy: 0.1070
+- Epoch: 32
 
 ## Model description
 
@@ -76,6 +76,7 @@ The following hyperparameters were used during training:
 | 1.4700     | 0.1036         | 1.3789          | 0.1061              | 29    |
 | 1.4466     | 0.1041         | 1.3262          | 0.1070              | 30    |
 | 1.4253     | 0.1046         | 1.3223          | 0.1072              | 31    |
+| 1.4059     | 0.1050         | 1.3096          | 0.1070              | 32    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:d904f601a36a518be6ac900cf7477f03908224312ae2c46cac1b80e995cc8e11
 size 499741936