Training complete

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Rouge1
       type: rouge
-      value: 39.4817
+      value: 46.6996
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,11 +32,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/pegasus-x-large](https://huggingface.co/google/pegasus-x-large) on the samsum dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.6845
-- Rouge1: 39.4817
-- Rouge2: 17.2378
-- Rougel: 33.2558
-- Rougelsum: 35.8353
+- Loss: 1.4802
+- Rouge1: 46.6996
+- Rouge2: 21.5586
+- Rougel: 38.1002
+- Rougelsum: 41.42
 
 ## Model description
 
@@ -56,19 +56,28 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5.6e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- train_batch_size: 2
+- eval_batch_size: 1
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 10
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
-| 1.9981        | 1.0   | 125  | 1.6845          | 39.4817 | 17.2378 | 33.2558 | 35.8353   |
+| 1.7681        | 1.0   | 500  | 1.4689          | 47.1766 | 21.8869 | 38.8854 | 42.9534   |
+| 1.4626        | 2.0   | 1000 | 1.4781          | 46.6978 | 20.786  | 37.764  | 41.2028   |
+| 1.3591        | 3.0   | 1500 | 1.4804          | 47.1756 | 21.8821 | 38.2072 | 41.6812   |
+| 1.3466        | 4.0   | 2000 | 1.4804          | 46.9411 | 21.5169 | 38.18   | 41.471    |
+| 1.3464        | 5.0   | 2500 | 1.4803          | 46.8083 | 21.5333 | 38.1539 | 41.4872   |
+| 1.3353        | 6.0   | 3000 | 1.4804          | 46.6675 | 21.1336 | 37.7059 | 41.0869   |
+| 1.3483        | 7.0   | 3500 | 1.4803          | 46.6768 | 21.1916 | 37.7642 | 41.1696   |
+| 1.3536        | 8.0   | 4000 | 1.4804          | 46.7311 | 21.5169 | 38.057  | 41.42     |
+| 1.3533        | 9.0   | 4500 | 1.4802          | 46.6403 | 21.529  | 37.9922 | 41.3437   |
+| 1.3469        | 10.0  | 5000 | 1.4802          | 46.6996 | 21.5586 | 38.1002 | 41.42     |
 
 
 ### Framework versions

runs/Jan28_18-14-18_5b1046ff91c1/events.out.tfevents.1706465658.5b1046ff91c1.4510.0

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+size 12068