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-large-cased](https://huggingface.co/xlnet-large-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6641
-- Accuracy: 0.724
-- F1: 0.7956
+- Loss: 0.5708
+- Accuracy: 0.744
+- F1: 0.8190
 
 ## Model description
 
@@ -44,15 +44,14 @@ 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: 3
+- num_epochs: 2
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.623         | 1.0   | 1502 | 0.5540          | 0.744    | 0.8184 |
-| 0.6003        | 2.0   | 3004 | 0.5512          | 0.737    | 0.8084 |
-| 0.5501        | 3.0   | 4506 | 0.6641          | 0.724    | 0.7956 |
+| 0.6282        | 1.0   | 1502 | 0.5322          | 0.757    | 0.8248 |
+| 0.6115        | 2.0   | 3004 | 0.5708          | 0.744    | 0.8190 |
 
 
 ### Framework versions

pytorch_model.bin

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