Training in progress epoch 8

README.md

@@ -15,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0435
-- Validation Loss: 0.6781
-- Train Accuracy: 0.8670
-- Epoch: 7
+- Train Loss: 0.0309
+- Validation Loss: 0.7102
+- Train Accuracy: 0.8668
+- Epoch: 8
 
 ## Model description
 
@@ -52,6 +52,7 @@ The following hyperparameters were used during training:
 | 0.0857     | 0.5733          | 0.8684         | 5     |
 | 0.0620     | 0.6176          | 0.8635         | 6     |
 | 0.0435     | 0.6781          | 0.8670         | 7     |
+| 0.0309     | 0.7102          | 0.8668         | 8     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1701808332.104-171-203-254.161859.0.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:046838d6ad25ecb5a21fb7cbb5eacb0d6285ef9f79c3429f3abfd6728706acf7
-size 2647810
+oid sha256:67433bd640d47e9d332969e734974b285bfc75271b44101bc0c8da850a5a1407
+size 2648027

logs/validation/events.out.tfevents.1701810866.104-171-203-254.161859.1.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6439977a521e688da5ef91e32652c5270cec07ccd911a0af2009520974f85f80
-size 1294
+oid sha256:b6283221ec209234099f0ff0f33b1943a14dd077d0c924a3a088df7a7f8d2e4f
+size 1451

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8427b914b30e3d293ced1623d88064d2896b27d4277dd1802562de394bb180a4
+oid sha256:c0e968a0a97f7a7dfcd101c222654043bfa0c544c648e3680eb08cfccdf3724b
 size 469433904