Training in progress epoch 16

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: 9.8225
-- Train Accuracy: 0.0155
-- Validation Loss: 9.7461
-- Validation Accuracy: 0.0209
-- Epoch: 14
+- Train Loss: 9.7065
+- Train Accuracy: 0.0219
+- Validation Loss: 9.6127
+- Validation Accuracy: 0.0222
+- Epoch: 16
 
 ## Model description
 
@@ -59,6 +59,8 @@ The following hyperparameters were used during training:
 | 9.9424     | 0.0035         | 9.8765          | 0.0110              | 12    |
 | 9.8826     | 0.0092         | 9.8156          | 0.0182              | 13    |
 | 9.8225     | 0.0155         | 9.7461          | 0.0209              | 14    |
+| 9.7670     | 0.0201         | 9.6768          | 0.0222              | 15    |
+| 9.7065     | 0.0219         | 9.6127          | 0.0222              | 16    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:80b60ea261cbe60ef77374e0b764a0781fa983ab875b58f3f69dc8be85b14c8f
 size 499741936