Training complete!

README.md

@@ -2,6 +2,8 @@
 base_model: google/pegasus-cnn_dailymail
 tags:
 - generated_from_trainer
+datasets:
+- samsum
 model-index:
 - name: pegasus-samsum
   results: []
@@ -12,7 +14,7 @@ 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 an unknown dataset.
+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
 
@@ -46,14 +48,14 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 1.6599        | 0.54  | 500  | 1.4833          |
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.6599        | 0.5430 | 500  | 1.4833          |
 
 
 ### Framework versions
 
-- Transformers 4.38.2
-- Pytorch 2.2.1+cu121
-- Datasets 2.18.0
-- Tokenizers 0.15.2
+- 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": "4.38.2"
+  "transformers_version": "4.42.4"
 }

tokenizer.json

@@ -2,11 +2,20 @@
   "version": "1.0",
   "truncation": {
     "direction": "Right",
-    "max_length": 128,
+    "max_length": 1024,
     "strategy": "LongestFirst",
     "stride": 0
   },
-  "padding": null,
+  "padding": {
+    "strategy": {
+      "Fixed": 1024
+    },
+    "direction": "Right",
+    "pad_to_multiple_of": null,
+    "pad_id": 0,
+    "pad_type_id": 0,
+    "pad_token": "<pad>"
+  },
   "added_tokens": [
     {
       "id": 0,