End of training

README.md

@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the samsum dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1304
+- Loss: 0.1365
 
 ## Model description
 
@@ -42,19 +42,18 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 1
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.6447        | 1.0   | 19   | 0.1326          |
-| 0.0872        | 2.0   | 38   | 0.1304          |
+| 0.6464        | 1.0   | 19   | 0.1365          |
 
 
 ### Framework versions
 
 - Transformers 4.42.4
-- Pytorch 2.3.1+cu121
-- Datasets 2.20.0
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
 - Tokenizers 0.19.1

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