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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1996
-- Precision: 0.7901
-- Recall: 0.7708
-- F1: 0.7803
-- Accuracy: 0.9487
+- Loss: 0.2196
+- Precision: 0.7942
+- Recall: 0.7925
+- F1: 0.7933
+- Accuracy: 0.9508
 
 ## Model description
 
@@ -49,17 +49,20 @@ 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: 5
+- num_epochs: 8
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 167  | 0.2305          | 0.6823    | 0.7752 | 0.7257 | 0.9334   |
-| No log        | 2.0   | 334  | 0.1971          | 0.7673    | 0.7601 | 0.7637 | 0.9456   |
-| 0.2227        | 3.0   | 501  | 0.1912          | 0.7839    | 0.7563 | 0.7698 | 0.9477   |
-| 0.2227        | 4.0   | 668  | 0.1902          | 0.7877    | 0.7934 | 0.7905 | 0.9511   |
-| 0.2227        | 5.0   | 835  | 0.1996          | 0.7901    | 0.7708 | 0.7803 | 0.9487   |
+| No log        | 1.0   | 167  | 0.2492          | 0.6870    | 0.7406 | 0.7128 | 0.9293   |
+| No log        | 2.0   | 334  | 0.2026          | 0.7733    | 0.7346 | 0.7534 | 0.9420   |
+| 0.2118        | 3.0   | 501  | 0.1895          | 0.7735    | 0.7934 | 0.7833 | 0.9493   |
+| 0.2118        | 4.0   | 668  | 0.1834          | 0.7785    | 0.8189 | 0.7982 | 0.9511   |
+| 0.2118        | 5.0   | 835  | 0.2060          | 0.8113    | 0.7965 | 0.8039 | 0.9522   |
+| 0.0507        | 6.0   | 1002 | 0.2153          | 0.7692    | 0.8226 | 0.7950 | 0.9511   |
+| 0.0507        | 7.0   | 1169 | 0.2141          | 0.7866    | 0.7962 | 0.7914 | 0.9507   |
+| 0.0507        | 8.0   | 1336 | 0.2196          | 0.7942    | 0.7925 | 0.7933 | 0.9508   |
 
 
 ### Framework versions

model.safetensors

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