Training completed

README.md

@@ -18,9 +18,9 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3688
-- Accuracy: 0.9059
-- F1: 0.9035
+- Loss: 0.2759
+- Accuracy: 0.9356
+- F1: 0.9340
 
 ## Model description
 
@@ -45,14 +45,17 @@ 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: 2
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 114  | 0.4430          | 0.8960   | 0.8919 |
-| No log        | 2.0   | 228  | 0.3688          | 0.9059   | 0.9035 |
+| No log        | 1.0   | 114  | 0.3235          | 0.9158   | 0.9150 |
+| No log        | 2.0   | 228  | 0.2864          | 0.9307   | 0.9294 |
+| No log        | 3.0   | 342  | 0.2798          | 0.9307   | 0.9297 |
+| No log        | 4.0   | 456  | 0.2785          | 0.9356   | 0.9340 |
+| No log        | 5.0   | 570  | 0.2759          | 0.9356   | 0.9340 |
 
 
 ### Framework versions

model.safetensors

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runs/Jan25_11-58-31_590d8bd6f7ff/events.out.tfevents.1706183918.590d8bd6f7ff.12478.1

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