End of training

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Rouge1
       type: rouge
-      value: 33.7152
+      value: 32.3503
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,12 +31,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the xsum dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.0726
-- Rouge1: 33.7152
-- Rouge2: 12.5057
-- Rougel: 27.3989
-- Rougelsum: 27.3994
-- Gen Len: 18.7527
+- Loss: 2.0798
+- Rouge1: 32.3503
+- Rouge2: 10.8909
+- Rougel: 25.9346
+- Rougelsum: 25.9216
+- Gen Len: 18.8494
 
 ## Model description
 
@@ -61,18 +61,22 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adafactor
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
-| 1.3744        | 1.0   | 5102 | 2.0726          | 33.7152 | 12.5057 | 27.3989 | 27.3994   | 18.7527 |
+| 2.335         | 1.0   | 1417 | 2.0823          | 31.3453 | 10.2077 | 25.0051 | 25.008    | 18.8259 |
+| 1.8642        | 2.0   | 2834 | 2.0798          | 32.3503 | 10.8909 | 25.9346 | 25.9216   | 18.8494 |
+| 1.5208        | 3.0   | 4251 | 2.1272          | 32.6743 | 11.3394 | 26.3776 | 26.3724   | 18.8435 |
+| 1.2628        | 4.0   | 5668 | 2.2110          | 32.695  | 11.3273 | 26.3215 | 26.322    | 18.8306 |
+| 1.0649        | 5.0   | 7085 | 2.3143          | 32.5287 | 11.3662 | 26.274  | 26.2741   | 18.8345 |
 
 
 ### Framework versions
 
 - Transformers 4.26.1
 - Pytorch 1.13.1+cu116
-- Datasets 2.9.0
+- Datasets 2.10.0
 - Tokenizers 0.13.2

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tokenizer.json

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