End of training

README.md

@@ -16,7 +16,7 @@ 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: 1.9506
+- Loss: 1.6889
 
 ## Model description
 
@@ -47,14 +47,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 250  | 2.5258          |
-| 2.9104        | 2.0   | 500  | 2.0581          |
-| 2.9104        | 3.0   | 750  | 1.9506          |
+| No log        | 1.0   | 250  | 2.3126          |
+| 2.697         | 2.0   | 500  | 1.7591          |
+| 2.697         | 3.0   | 750  | 1.6889          |
 
 
 ### Framework versions
 
-- Transformers 4.46.2
-- Pytorch 2.5.1+cu124
+- Transformers 4.47.0
+- Pytorch 2.5.1
 - Datasets 3.1.0
-- Tokenizers 0.20.1
+- Tokenizers 0.21.0

model.safetensors

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runs/Dec09_10-41-37_bogon/events.out.tfevents.1733712101.bogon.78603.2

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