End of training

README.md

@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert/distilroberta-base](https://huggingface.co/distilbert/distilroberta-base) on the eli5_category dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.0170
+- Loss: 2.0244
 
 ## Model description
 
@@ -49,14 +49,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 2.292         | 1.0   | 947  | 2.0515          |
-| 2.2031        | 2.0   | 1894 | 2.0231          |
-| 2.1462        | 3.0   | 2841 | 2.0452          |
+| 2.2961        | 1.0   | 946  | 2.0529          |
+| 2.1976        | 2.0   | 1892 | 2.0641          |
+| 2.1467        | 3.0   | 2838 | 1.9921          |
 
 
 ### 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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