Training complete

README.md

@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert/distilbert-base-cased](https://huggingface.co/distilbert/distilbert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2964
-- Precision: 0.4528
-- Recall: 0.4443
-- F1: 0.4485
-- Accuracy: 0.9120
+- Loss: 0.4142
+- Precision: 0.5949
+- Recall: 0.6021
+- F1: 0.5985
+- Accuracy: 0.9297
 
 ## Model description
 
@@ -50,15 +50,27 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 15
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 56   | 0.3496          | 0.5       | 0.1149 | 0.1869 | 0.8840   |
-| No log        | 2.0   | 112  | 0.3027          | 0.4729    | 0.4048 | 0.4362 | 0.9096   |
-| No log        | 3.0   | 168  | 0.2964          | 0.4528    | 0.4443 | 0.4485 | 0.9120   |
+| No log        | 1.0   | 56   | 0.2800          | 0.4550    | 0.4854 | 0.4697 | 0.9137   |
+| No log        | 2.0   | 112  | 0.2701          | 0.5275    | 0.5918 | 0.5578 | 0.9250   |
+| No log        | 3.0   | 168  | 0.2836          | 0.5364    | 0.6072 | 0.5696 | 0.9248   |
+| No log        | 4.0   | 224  | 0.3103          | 0.5953    | 0.5626 | 0.5785 | 0.9287   |
+| No log        | 5.0   | 280  | 0.3210          | 0.5794    | 0.5883 | 0.5838 | 0.9284   |
+| No log        | 6.0   | 336  | 0.3376          | 0.5574    | 0.5832 | 0.5700 | 0.9254   |
+| No log        | 7.0   | 392  | 0.3717          | 0.6014    | 0.5849 | 0.5930 | 0.9304   |
+| No log        | 8.0   | 448  | 0.3788          | 0.6017    | 0.6038 | 0.6027 | 0.9297   |
+| 0.0751        | 9.0   | 504  | 0.3832          | 0.5972    | 0.5901 | 0.5936 | 0.9296   |
+| 0.0751        | 10.0  | 560  | 0.3943          | 0.5686    | 0.5969 | 0.5824 | 0.9265   |
+| 0.0751        | 11.0  | 616  | 0.3914          | 0.6042    | 0.5969 | 0.6005 | 0.9306   |
+| 0.0751        | 12.0  | 672  | 0.4034          | 0.5892    | 0.6003 | 0.5947 | 0.9286   |
+| 0.0751        | 13.0  | 728  | 0.4093          | 0.5963    | 0.6003 | 0.5983 | 0.9297   |
+| 0.0751        | 14.0  | 784  | 0.4122          | 0.5973    | 0.6003 | 0.5988 | 0.9294   |
+| 0.0751        | 15.0  | 840  | 0.4142          | 0.5949    | 0.6021 | 0.5985 | 0.9297   |
 
 
 ### Framework versions