Training complete

README.md

@@ -21,11 +21,11 @@ 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 cnn_dailymail dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1284
-- Rouge1: 0.2459
-- Rouge2: 0.1133
-- Rougel: 0.2014
-- Rougelsum: 0.2312
+- Loss: 1.0254
+- Rouge1: 0.244
+- Rouge2: 0.111
+- Rougel: 0.2032
+- Rougelsum: 0.2292
 
 ## Model description
 
@@ -50,16 +50,22 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 4
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
-| 3.2738 | 1.0 | 500 | 2.5624 | 0.2375 | 0.1097 | 0.1987 | 0.223 |
-| 1.8824 | 2.0 | 1000 | 1.2830 | 0.2419 | 0.11 | 0.1988 | 0.2278 |
-| 1.6192 | 3.0 | 1500 | 1.1527 | 0.2477 | 0.1149 | 0.2033 | 0.2325 |
-| 1.5256 | 4.0 | 2000 | 1.1284 | 0.2459 | 0.1133 | 0.2014 | 0.2312 |
+| 3.0551 | 1.0 | 500 | 2.2941 | 0.2336 | 0.1092 | 0.1969 | 0.217 |
+| 1.6422 | 2.0 | 1000 | 1.1665 | 0.2459 | 0.1088 | 0.1991 | 0.227 |
+| 1.4067 | 3.0 | 1500 | 1.0762 | 0.2462 | 0.1089 | 0.1982 | 0.2296 |
+| 1.2856 | 4.0 | 2000 | 1.0518 | 0.2448 | 0.1112 | 0.2036 | 0.2298 |
+| 1.3478 | 5.0 | 2500 | 1.0393 | 0.2458 | 0.1125 | 0.2056 | 0.2303 |
+| 1.2114 | 6.0 | 3000 | 1.0340 | 0.2497 | 0.1145 | 0.2084 | 0.2333 |
+| 1.3311 | 7.0 | 3500 | 1.0298 | 0.2479 | 0.1143 | 0.207 | 0.233 |
+| 1.3081 | 8.0 | 4000 | 1.0270 | 0.2448 | 0.1112 | 0.2035 | 0.2301 |
+| 1.1794 | 9.0 | 4500 | 1.0258 | 0.2449 | 0.1112 | 0.2036 | 0.2301 |
+| 1.2407 | 10.0 | 5000 | 1.0254 | 0.244 | 0.111 | 0.2032 | 0.2292 |
 
 
 ### Framework versions