Training in progress epoch 143

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: 0.8894
-- Train Accuracy: 0.1173
-- Validation Loss: 0.9033
-- Validation Accuracy: 0.1173
-- Epoch: 142
+- Train Loss: 0.8869
+- Train Accuracy: 0.1174
+- Validation Loss: 0.8853
+- Validation Accuracy: 0.1184
+- Epoch: 143
 
 ## Model description
 
@@ -187,6 +187,7 @@ The following hyperparameters were used during training:
 | 0.8915     | 0.1173         | 0.8848          | 0.1183              | 140   |
 | 0.8898     | 0.1173         | 0.8911          | 0.1177              | 141   |
 | 0.8894     | 0.1173         | 0.9033          | 0.1173              | 142   |
+| 0.8869     | 0.1174         | 0.8853          | 0.1184              | 143   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:4be3ee9c68fa7f88cebcc7b1d2bb9df3c00f667eb0f7bbbefe479691fe07be8e
 size 499741936