Training in progress epoch 40

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: 1.4363
-- Train Accuracy: 0.1043
-- Validation Loss: 1.3467
-- Validation Accuracy: 0.1060
-- Epoch: 39
+- Train Loss: 1.4098
+- Train Accuracy: 0.1049
+- Validation Loss: 1.3213
+- Validation Accuracy: 0.1076
+- Epoch: 40
 
 ## Model description
 
@@ -84,6 +84,7 @@ The following hyperparameters were used during training:
 | 1.4944     | 0.1030         | 1.4141          | 0.1059              | 37    |
 | 1.4631     | 0.1037         | 1.3721          | 0.1053              | 38    |
 | 1.4363     | 0.1043         | 1.3467          | 0.1060              | 39    |
+| 1.4098     | 0.1049         | 1.3213          | 0.1076              | 40    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:68afc8e286fa54ac4e861497fad82cc59937612e1acff931eab8871c5bd902f7
 size 499741936