Maziger1
/

assignment1_DestilBert

Text Classification

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text-embeddings-inference

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Maziger1 commited on Sep 15, 2025

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@@ -19,9 +19,9 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2442
-- Accuracy: 0.9191
-- F1: 0.9191
 ## Model description
@@ -52,8 +52,8 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 313  | 0.2607          | 0.9118   | 0.9116 |
-| 0.3049        | 2.0   | 626  | 0.2442          | 0.9191   | 0.9191 |
 ### Framework versions

 This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.2447
+- Accuracy: 0.9207
+- F1: 0.9206
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| No log        | 1.0   | 313  | 0.2710          | 0.9092   | 0.9089 |
+| 0.3034        | 2.0   | 626  | 0.2447          | 0.9207   | 0.9206 |
 ### Framework versions