Training in progress epoch 9

README.md

@@ -14,9 +14,9 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [sshleifer/distilbart-xsum-1-1](https://huggingface.co/sshleifer/distilbart-xsum-1-1) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 3.5989
-- Validation Loss: 4.6731
-- Epoch: 7
+- Train Loss: 3.3356
+- Validation Loss: 4.6934
+- Epoch: 9
 
 ## Model description
 
@@ -50,6 +50,8 @@ The following hyperparameters were used during training:
 | 3.9225     | 4.6279          | 5     |
 | 3.7564     | 4.6288          | 6     |
 | 3.5989     | 4.6731          | 7     |
+| 3.4611     | 4.6767          | 8     |
+| 3.3356     | 4.6934          | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2658b741ed5d037e05057f50fe8ef93ceeb4975f4914182a6eb3d0a2d1d25b0a
+oid sha256:dfff62ee942789dcdd1d6d0088b1d37f3c5336051bf3b678d6a3791aa07b7c46
 size 332140368