Model save

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/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.5939
+- Loss: 1.6160
 
 ## Model description
 
@@ -46,14 +46,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 250  | 1.7698          |
-| 1.7895        | 2.0   | 500  | 1.6066          |
-| 1.7895        | 3.0   | 750  | 1.5939          |
+| No log        | 1.0   | 250  | 2.3383          |
+| 2.7786        | 2.0   | 500  | 1.6790          |
+| 2.7786        | 3.0   | 750  | 1.6160          |
 
 
 ### Framework versions
 
-- Transformers 4.38.2
+- Transformers 4.39.0
 - Pytorch 2.2.1+cu121
 - Datasets 2.18.0
 - Tokenizers 0.15.2

model.safetensors

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runs/Mar21_08-19-08_7c6f98a0e97b/events.out.tfevents.1711009148.7c6f98a0e97b.431.0

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