Training complete!

README.md

@@ -2,8 +2,6 @@
 base_model: google/pegasus-cnn_dailymail
 tags:
 - generated_from_trainer
-datasets:
-- samsum
 model-index:
 - name: pegasus-samsum
   results: []
@@ -14,9 +12,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # pegasus-samsum
 
-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: 1.4833
+This model is a fine-tuned version of [google/pegasus-cnn_dailymail](https://huggingface.co/google/pegasus-cnn_dailymail) on the None dataset.
 
 ## Model description
 
@@ -48,14 +44,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss |
-|:-------------:|:------:|:----:|:---------------:|
-| 1.6599        | 0.5430 | 500  | 1.4833          |
 
 
 ### Framework versions
 
-- Transformers 4.42.3
-- Pytorch 2.3.0+cu121
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
 - Datasets 2.20.0
 - Tokenizers 0.19.1

generation_config.json

@@ -9,5 +9,5 @@
   "min_length": 32,
   "num_beams": 8,
   "pad_token_id": 0,
-  "transformers_version": "4.42.3"
+  "transformers_version": "4.42.4"
 }

tokenizer.json

@@ -1,7 +1,19 @@
 {
   "version": "1.0",
-  "truncation": null,
-  "padding": null,
+  "truncation": {
+    "direction": "Right",
+    "max_length": 1024,
+    "strategy": "LongestFirst",
+    "stride": 0
+  },
+  "padding": {
+    "strategy": "BatchLongest",
+    "direction": "Right",
+    "pad_to_multiple_of": null,
+    "pad_id": 0,
+    "pad_type_id": 0,
+    "pad_token": "<pad>"
+  },
   "added_tokens": [
     {
       "id": 0,