Training in progress epoch 7

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: 10.1449
-- Train Accuracy: 0.0000
-- Validation Loss: 10.0705
-- Validation Accuracy: 0.0000
-- Epoch: 5
+- Train Loss: 10.0099
+- Train Accuracy: 0.0002
+- Validation Loss: 9.9074
+- Validation Accuracy: 0.0023
+- Epoch: 7
 
 ## Model description
 
@@ -50,6 +50,8 @@ The following hyperparameters were used during training:
 | 10.2335    | 0.0            | 10.1943         | 0.0000              | 3     |
 | 10.1915    | 0.0000         | 10.1447         | 0.0000              | 4     |
 | 10.1449    | 0.0000         | 10.0705         | 0.0000              | 5     |
+| 10.0750    | 0.0000         | 9.9926          | 0.0001              | 6     |
+| 10.0099    | 0.0002         | 9.9074          | 0.0023              | 7     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:24c64481ae3c027f6737d933abae4e71a57ac38b3c185c513d7bcb080f8958ee
+oid sha256:5438bb88db6e2a6c5eca070303049bd76287b5d7f14cceb97025efd784f5b9ec
 size 499741936