Training in progress epoch 4

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: 4.5770
-- Validation Loss: 4.7170
-- Epoch: 2
+- Train Loss: 4.1073
+- Validation Loss: 4.6296
+- Epoch: 4
 
 ## Model description
 
@@ -45,6 +45,8 @@ The following hyperparameters were used during training:
 | 5.6694     | 5.0234          | 0     |
 | 4.9191     | 4.8161          | 1     |
 | 4.5770     | 4.7170          | 2     |
+| 4.3268     | 4.6571          | 3     |
+| 4.1073     | 4.6296          | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7d5c1d0a9c0c4e4ef88cf52911c2a38a59c8933ccb63a69ac7b0f7dbbcb68e87
+oid sha256:4aa7500dced1a6939d8b92bfc5d70d741fc70a9d20e4ed80d4aab2204c0a1b19
 size 332140368