End of training

README.md

@@ -20,15 +20,15 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5273
-- Accuracy: 0.79
-- Precision: {'precision': 0.7951807228915663}
-- Recall: {'recall': 0.7252747252747253}
-- F1: {'f1': 0.7586206896551725}
-- Tp: 66
-- Fp: 17
-- Tn: 92
-- Fn: 25
+- Loss: 0.5336
+- Accuracy: 0.765
+- Precision: {'precision': 0.7894736842105263}
+- Recall: {'recall': 0.6593406593406593}
+- F1: {'f1': 0.7185628742514969}
+- Tp: 60
+- Fp: 16
+- Tn: 93
+- Fn: 31
 
 ## Model description
 
@@ -57,6 +57,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision                         | Recall                         | F1                         | Tp | Fp | Tn | Fn |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------------------------------:|:------------------------------:|:--------------------------:|:--:|:--:|:--:|:--:|
+| 0.6134        | 2.0   | 18   | 0.5336          | 0.765    | {'precision': 0.7894736842105263} | {'recall': 0.6593406593406593} | {'f1': 0.7185628742514969} | 60 | 16 | 93 | 31 |
 
 
 ### Framework versions