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-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1121
-- Precision: 0.9762
-- Recall: 0.9737
-- F1: 0.9736
-- Accuracy: 0.9737
+- Loss: 0.0912
+- Precision: 1.0
+- Recall: 1.0
+- F1: 1.0
+- Accuracy: 1.0
 
 ## Model description
 
@@ -43,33 +43,22 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
+- learning_rate: 2e-05
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 15
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 1.206         | 1.0   | 48   | 0.8496          | 0.8900    | 0.8421 | 0.8322 | 0.8421   |
-| 0.621         | 2.0   | 96   | 0.2971          | 1.0       | 1.0    | 1.0    | 1.0      |
-| 0.2411        | 3.0   | 144  | 0.1237          | 0.9762    | 0.9737 | 0.9736 | 0.9737   |
-| 0.0988        | 4.0   | 192  | 0.0829          | 0.9762    | 0.9737 | 0.9736 | 0.9737   |
-| 0.0471        | 5.0   | 240  | 0.0926          | 0.9762    | 0.9737 | 0.9736 | 0.9737   |
-| 0.0213        | 6.0   | 288  | 0.0924          | 0.9762    | 0.9737 | 0.9736 | 0.9737   |
-| 0.0142        | 7.0   | 336  | 0.1157          | 0.9762    | 0.9737 | 0.9736 | 0.9737   |
-| 0.0106        | 8.0   | 384  | 0.1067          | 0.9762    | 0.9737 | 0.9736 | 0.9737   |
-| 0.0086        | 9.0   | 432  | 0.1032          | 0.9762    | 0.9737 | 0.9736 | 0.9737   |
-| 0.007         | 10.0  | 480  | 0.1188          | 0.9762    | 0.9737 | 0.9736 | 0.9737   |
-| 0.0064        | 11.0  | 528  | 0.1134          | 0.9762    | 0.9737 | 0.9736 | 0.9737   |
-| 0.0059        | 12.0  | 576  | 0.1122          | 0.9762    | 0.9737 | 0.9736 | 0.9737   |
-| 0.0055        | 13.0  | 624  | 0.1109          | 0.9762    | 0.9737 | 0.9736 | 0.9737   |
-| 0.0053        | 14.0  | 672  | 0.1125          | 0.9762    | 0.9737 | 0.9736 | 0.9737   |
-| 0.0052        | 15.0  | 720  | 0.1121          | 0.9762    | 0.9737 | 0.9736 | 0.9737   |
+| 1.1769        | 0.62  | 30   | 0.7176          | 0.9737    | 0.9737 | 0.9737 | 0.9737   |
+| 0.5852        | 1.25  | 60   | 0.2737          | 0.9875    | 0.9868 | 0.9868 | 0.9868   |
+| 0.2857        | 1.88  | 90   | 0.1442          | 1.0       | 1.0    | 1.0    | 1.0      |
+| 0.1518        | 2.5   | 120  | 0.0912          | 1.0       | 1.0    | 1.0    | 1.0      |
 
 
 ### Framework versions

model.safetensors

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runs/Jan21_11-34-46_1a3a957c2842/events.out.tfevents.1705836891.1a3a957c2842.8067.2

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training_args.bin

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