End of training

README.md

@@ -20,10 +20,10 @@ 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: 0.2094
-- Accuracy: 0.9236
-- F1: 0.9553
-- Precision: 0.9531
+- Loss: 0.2693
+- Accuracy: 0.9287
+- F1: 0.9581
+- Precision: 0.9588
 - Recall: 0.9575
 
 ## Model description
@@ -49,15 +49,17 @@ 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: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 0.2551        | 1.0   | 642  | 0.2172          | 0.9037   | 0.9443 | 0.9311    | 0.9579 |
-| 0.1981        | 2.0   | 1284 | 0.2366          | 0.9135   | 0.9500 | 0.9349    | 0.9657 |
-| 0.1513        | 3.0   | 1926 | 0.2094          | 0.9236   | 0.9553 | 0.9531    | 0.9575 |
+| 0.2517        | 1.0   | 642  | 0.3093          | 0.8804   | 0.9341 | 0.8799    | 0.9954 |
+| 0.2239        | 2.0   | 1284 | 0.2935          | 0.9217   | 0.9542 | 0.9509    | 0.9575 |
+| 0.2253        | 3.0   | 1926 | 0.2859          | 0.9170   | 0.9518 | 0.9422    | 0.9616 |
+| 0.1936        | 4.0   | 2568 | 0.2904          | 0.9252   | 0.9559 | 0.9607    | 0.9511 |
+| 0.1813        | 5.0   | 3210 | 0.2693          | 0.9287   | 0.9581 | 0.9588    | 0.9575 |
 
 
 ### Framework versions

runs/Jul03_22-52-23_raul-MS-7B98/events.out.tfevents.1720065149.raul-MS-7B98.8021.0

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+size 8981