Pegasus-summarization

README.md

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/pegasus-cnn_dailymail](https://huggingface.co/google/pegasus-cnn_dailymail) on the samsum dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4839
+- Loss: 1.4848
 
 ## Model description
 
@@ -48,14 +48,14 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 1.6592        | 0.54  | 500  | 1.4839          |
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.6533        | 0.5430 | 500  | 1.4848          |
 
 
 ### Framework versions
 
-- Transformers 4.39.3
-- Pytorch 2.1.2
-- Datasets 2.18.0
-- Tokenizers 0.15.2
+- Transformers 4.44.0
+- Pytorch 2.4.0
+- Datasets 2.21.0
+- Tokenizers 0.19.1

generation_config.json

@@ -9,5 +9,5 @@
   "min_length": 32,
   "num_beams": 8,
   "pad_token_id": 0,
-  "transformers_version": "4.39.3"
+  "transformers_version": "4.44.0"
 }