End of training

README.md

@@ -20,11 +20,11 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1968
-- Accuracy: 0.9502
-- F1: 0.9502
-- Precision: 0.9502
-- Recall: 0.9502
+- Loss: 0.1544
+- Accuracy: 0.9466
+- F1: 0.9466
+- Precision: 0.9467
+- Recall: 0.9466
 
 ## Model description
 
@@ -56,8 +56,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| No log        | 0.3836 | 300  | 0.1946          | 0.95     | 0.9500 | 0.9501    | 0.9500 |
-| 0.08          | 0.7673 | 600  | 0.1968          | 0.9502   | 0.9502 | 0.9502    | 0.9502 |
+| No log        | 0.3836 | 300  | 0.1660          | 0.9406   | 0.9406 | 0.9413    | 0.9406 |
+| 0.2833        | 0.7673 | 600  | 0.1544          | 0.9466   | 0.9466 | 0.9467    | 0.9466 |
 
 
 ### Framework versions

model.safetensors

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runs/Jun06_09-53-02_e6d115a992ac/events.out.tfevents.1717667587.e6d115a992ac.34.0

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training_args.bin

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