End of training

README.md

@@ -1,5 +1,6 @@
 ---
 license: mit
+base_model: xlnet-large-cased
 tags:
 - generated_from_trainer
 metrics:
@@ -17,9 +18,9 @@ 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: 0.5708
-- Accuracy: 0.744
-- F1: 0.8190
+- Loss: 0.5283
+- Accuracy: 0.753
+- F1: 0.8237
 
 ## Model description
 
@@ -50,13 +51,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.6282        | 1.0   | 1502 | 0.5322          | 0.757    | 0.8248 |
-| 0.6115        | 2.0   | 3004 | 0.5708          | 0.744    | 0.8190 |
+| 0.6329        | 1.0   | 1502 | 0.5418          | 0.731    | 0.8125 |
+| 0.6137        | 2.0   | 3004 | 0.5283          | 0.753    | 0.8237 |
 
 
 ### Framework versions
 
-- Transformers 4.30.2
+- Transformers 4.31.0
 - Pytorch 2.0.1+cu118
 - Datasets 2.13.1
 - Tokenizers 0.13.3

pytorch_model.bin

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runs/Jul19_00-27-01_f17987bec0e7/events.out.tfevents.1689726785.f17987bec0e7.657.0

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