End of training

README.md

@@ -18,12 +18,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.7712
-- Rouge1: 43.5898
-- Rouge2: 17.9519
-- Rougel: 31.6266
-- Rougelsum: 40.4599
-- Gen Len: 100.2965
+- Loss: 1.7588
+- Rouge1: 43.5001
+- Rouge2: 17.8611
+- Rougel: 31.5148
+- Rougelsum: 40.2359
+- Gen Len: 98.7718
 
 ## Model description
 
@@ -43,19 +43,20 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 5
-- eval_batch_size: 5
+- train_batch_size: 6
+- eval_batch_size: 6
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len  |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
-| 1.911         | 1.0   | 3374 | 1.7750          | 43.3477 | 17.7556 | 31.5789 | 40.2601   | 96.8776  |
-| 1.901         | 2.0   | 6748 | 1.7712          | 43.5898 | 17.9519 | 31.6266 | 40.4599   | 100.2965 |
+| 1.9097        | 1.0   | 2812 | 1.7698          | 43.3373 | 17.6766 | 31.4769 | 40.0561   | 97.4492  |
+| 1.8901        | 2.0   | 5624 | 1.7603          | 43.4367 | 17.8114 | 31.5721 | 40.1962   | 100.2230 |
+| 1.8854        | 3.0   | 8436 | 1.7588          | 43.5001 | 17.8611 | 31.5148 | 40.2359   | 98.7718  |
 
 
 ### Framework versions