End of training

README.md

@@ -15,7 +15,7 @@ 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: 1.7387
+- Loss: 1.7139
 
 ## Model description
 
@@ -46,14 +46,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 250  | 2.5883          |
-| 2.7833        | 2.0   | 500  | 1.8180          |
-| 2.7833        | 3.0   | 750  | 1.7387          |
+| No log        | 1.0   | 250  | 2.3166          |
+| 2.6712        | 2.0   | 500  | 1.7858          |
+| 2.6712        | 3.0   | 750  | 1.7139          |
 
 
 ### Framework versions
 
-- Transformers 4.35.0
-- Pytorch 2.1.0
-- Datasets 2.14.6
-- Tokenizers 0.14.1
+- Transformers 4.39.3
+- Pytorch 2.2.2+cu118
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

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runs/Apr10_04-18-37_DESKTOP-O0E3GS1/events.out.tfevents.1712719118.DESKTOP-O0E3GS1.8260.0

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