Training in progress epoch 19

README.md

@@ -15,11 +15,11 @@ 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: 7.6868
-- Train Accuracy: 0.0242
-- Validation Loss: 7.6129
-- Validation Accuracy: 0.0243
-- Epoch: 18
+- Train Loss: 7.6206
+- Train Accuracy: 0.0250
+- Validation Loss: 7.5579
+- Validation Accuracy: 0.0246
+- Epoch: 19
 
 ## Model description
 
@@ -64,6 +64,7 @@ The following hyperparameters were used during training:
 | 7.8449     | 0.0229         | 7.7873          | 0.0219              | 16    |
 | 7.7673     | 0.0232         | 7.6903          | 0.0229              | 17    |
 | 7.6868     | 0.0242         | 7.6129          | 0.0243              | 18    |
+| 7.6206     | 0.0250         | 7.5579          | 0.0246              | 19    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4bb8fdf5d02e6fd2cd86896c506f0a0823dd4f09db3a0a48162621480c4420d2
+oid sha256:6705355bb77dc9bc6a92e158ed75ebfcba494528fd0837ef5fea89b8ff560021
 size 499741936