End of training

README.md

@@ -17,9 +17,9 @@ should 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7135
-- Rmse: 0.6123
-- Accuracy: 0.8691
+- Loss: 0.7042
+- Rmse: 0.6062
+- Accuracy: 0.8574
 
 ## Model description
 
@@ -44,17 +44,19 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 7
 
 ### Training results
 
 | Training Loss | Epoch | Step  | Validation Loss | Rmse   | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:------:|:--------:|
-| 0.8907        | 1.0   | 3790  | 0.9401          | 0.6715 | 0.8152   |
-| 0.7855        | 2.0   | 7580  | 0.7974          | 0.6301 | 0.8501   |
-| 0.6837        | 3.0   | 11370 | 0.8520          | 0.6384 | 0.8553   |
-| 0.6271        | 4.0   | 15160 | 0.7731          | 0.6140 | 0.8669   |
-| 0.5311        | 5.0   | 18950 | 0.7135          | 0.6123 | 0.8691   |
+| 0.8318        | 1.0   | 3790  | 0.7042          | 0.6062 | 0.8574   |
+| 0.6979        | 2.0   | 7580  | 0.8326          | 0.6754 | 0.8416   |
+| 0.7497        | 3.0   | 11370 | 1.0764          | 0.7446 | 0.8004   |
+| 0.8444        | 4.0   | 15160 | 0.9529          | 0.6628 | 0.8458   |
+| 0.6879        | 5.0   | 18950 | 0.8014          | 0.6442 | 0.8479   |
+| 0.5306        | 6.0   | 22740 | 0.7252          | 0.6174 | 0.8627   |
+| 0.466         | 7.0   | 26530 | 0.7364          | 0.5965 | 0.8691   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:c885b34de8855c82d872ced7b2c5416aadbd88e3969c95a575131edade3585d0
 size 469314837