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/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2626
-- Precision: 0.5556
-- Recall: 0.5565
-- F1: 0.5560
-- Accuracy: 0.9336
+- Loss: 0.2870
+- Precision: 0.6543
+- Recall: 0.6256
+- F1: 0.6397
+- Accuracy: 0.9433
 
 ## Model description
 
@@ -49,18 +49,22 @@ 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: 100
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 282  | 0.3748          | 0.4065    | 0.2749 | 0.3280 | 0.9053   |
-| 0.403         | 2.0   | 564  | 0.2924          | 0.5558    | 0.4705 | 0.5096 | 0.9266   |
-| 0.403         | 3.0   | 846  | 0.2863          | 0.6589    | 0.5278 | 0.5861 | 0.9347   |
-| 0.1961        | 4.0   | 1128 | 0.2626          | 0.5556    | 0.5565 | 0.5560 | 0.9336   |
-| 0.1961        | 5.0   | 1410 | 0.2710          | 0.6279    | 0.5919 | 0.6094 | 0.9403   |
-| 0.1074        | 6.0   | 1692 | 0.3046          | 0.6699    | 0.5818 | 0.6227 | 0.9408   |
+| No log        | 1.0   | 282  | 0.3862          | 0.4247    | 0.2901 | 0.3447 | 0.9041   |
+| 0.4179        | 2.0   | 564  | 0.3053          | 0.5411    | 0.4216 | 0.4739 | 0.9228   |
+| 0.4179        | 3.0   | 846  | 0.2923          | 0.6195    | 0.5025 | 0.5549 | 0.9315   |
+| 0.2108        | 4.0   | 1128 | 0.2770          | 0.5641    | 0.5346 | 0.5489 | 0.9322   |
+| 0.2108        | 5.0   | 1410 | 0.2789          | 0.6104    | 0.5548 | 0.5813 | 0.9369   |
+| 0.1279        | 6.0   | 1692 | 0.2793          | 0.6171    | 0.5953 | 0.6060 | 0.9382   |
+| 0.1279        | 7.0   | 1974 | 0.2790          | 0.6348    | 0.6037 | 0.6188 | 0.9417   |
+| 0.0881        | 8.0   | 2256 | 0.2864          | 0.6490    | 0.6206 | 0.6345 | 0.9419   |
+| 0.0615        | 9.0   | 2538 | 0.2874          | 0.6414    | 0.6003 | 0.6202 | 0.9417   |
+| 0.0615        | 10.0  | 2820 | 0.2870          | 0.6543    | 0.6256 | 0.6397 | 0.9433   |
 
 
 ### Framework versions

model.safetensors

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