End of training

README.md

@@ -13,9 +13,9 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [vinai/phobert-base](https://huggingface.co/vinai/phobert-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 5.4281
-- Validation Loss: 4.6304
-- Epoch: 0
+- Train Loss: 4.2670
+- Validation Loss: 4.3108
+- Epoch: 12
 
 ## Model description
 
@@ -42,6 +42,18 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
 | 5.4281     | 4.6304          | 0     |
+| 4.5092     | 4.2831          | 1     |
+| 4.2234     | 4.2641          | 2     |
+| 4.2383     | 4.3122          | 3     |
+| 4.2406     | 4.2459          | 4     |
+| 4.2113     | 4.2687          | 5     |
+| 4.2721     | 4.2425          | 6     |
+| 4.3064     | 4.2370          | 7     |
+| 4.2685     | 4.2999          | 8     |
+| 4.3104     | nan             | 9     |
+| 4.2444     | 4.2957          | 10    |
+| 4.2041     | 4.2465          | 11    |
+| 4.2670     | 4.3108          | 12    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:af078b55f8281cbd0d2cf5d27092c2f0dafa8f68cf14f0ea09f2ea351fd84363
+oid sha256:eedb4807ff8e1fbef794780fc4a016bcd7454c0b75f9f43d08cb68ea236f354c
 size 737947308