Training in progress epoch 84

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: 1.0643
-- Train Accuracy: 0.1129
-- Validation Loss: 1.0156
-- Validation Accuracy: 0.1146
-- Epoch: 83
+- Train Loss: 1.0629
+- Train Accuracy: 0.1131
+- Validation Loss: 1.0127
+- Validation Accuracy: 0.1149
+- Epoch: 84
 
 ## Model description
 
@@ -128,6 +128,7 @@ The following hyperparameters were used during training:
 | 1.0688     | 0.1129         | 1.0225          | 0.1140              | 81    |
 | 1.0664     | 0.1129         | 1.0269          | 0.1139              | 82    |
 | 1.0643     | 0.1129         | 1.0156          | 0.1146              | 83    |
+| 1.0629     | 0.1131         | 1.0127          | 0.1149              | 84    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:a9196442cba24267f2b0c0a69c14a3e6c73a303adfce8cabfeac6fc7bda62173
 size 499741936