Training complete

README.md

@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8383
-- Precision: 0.0
-- Recall: 0.0
-- F1: 0.0
-- Accuracy: 0.8005
+- Loss: 0.1445
+- Precision: 0.8577
+- Recall: 0.9018
+- F1: 0.8792
+- Accuracy: 0.9625
 
 ## Model description
 
@@ -53,11 +53,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
-| No log        | 1.0   | 183  | 0.8495          | 0.0       | 0.0    | 0.0 | 0.8005   |
-| No log        | 2.0   | 366  | 0.8433          | 0.0       | 0.0    | 0.0 | 0.8005   |
-| 0.8573        | 3.0   | 549  | 0.8383          | 0.0       | 0.0    | 0.0 | 0.8005   |
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 199  | 0.2021          | 0.7253    | 0.8035 | 0.7624 | 0.9363   |
+| No log        | 2.0   | 398  | 0.1521          | 0.8362    | 0.8944 | 0.8643 | 0.9589   |
+| 0.2566        | 3.0   | 597  | 0.1445          | 0.8577    | 0.9018 | 0.8792 | 0.9625   |
 
 
 ### Framework versions