End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Rouge1
       type: rouge
-      value: 41.8545
+      value: 41.7031
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,12 +32,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the samsum dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.7739
-- Rouge1: 41.8545
-- Rouge2: 19.0397
-- Rougel: 35.2065
-- Rougelsum: 38.8278
-- Gen Len: 16.6222
+- Loss: 1.7687
+- Rouge1: 41.7031
+- Rouge2: 18.7783
+- Rougel: 35.1492
+- Rougelsum: 38.6317
+- Gen Len: 16.5685
 
 ## Model description
 
@@ -64,17 +64,19 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 32
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 4
+- num_epochs: 6
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
-| No log        | 1.0   | 460  | 1.7926          | 41.5391 | 18.4858 | 34.6806 | 38.3183   | 16.6663 |
-| 1.9666        | 2.0   | 921  | 1.7810          | 41.5694 | 18.5639 | 34.9915 | 38.4652   | 16.5599 |
-| 1.9457        | 3.0   | 1381 | 1.7785          | 42.0475 | 19.0086 | 35.2119 | 38.8236   | 16.6858 |
-| 1.9241        | 4.0   | 1840 | 1.7739          | 41.8545 | 19.0397 | 35.2065 | 38.8278   | 16.6222 |
+| No log        | 1.0   | 460  | 1.8087          | 40.9414 | 18.2439 | 34.4046 | 38.0469   | 16.4645 |
+| 1.9998        | 2.0   | 921  | 1.7943          | 41.09   | 18.2457 | 34.4794 | 38.098    | 16.5538 |
+| 1.9621        | 3.0   | 1381 | 1.7809          | 41.6111 | 18.5089 | 34.9893 | 38.6344   | 16.5795 |
+| 1.9445        | 4.0   | 1842 | 1.7731          | 41.7145 | 18.7104 | 35.1886 | 38.7006   | 16.6198 |
+| 1.9227        | 5.0   | 2302 | 1.7702          | 41.5079 | 18.5223 | 34.9946 | 38.4816   | 16.5575 |
+| 1.9142        | 5.99  | 2760 | 1.7687          | 41.7031 | 18.7783 | 35.1492 | 38.6317   | 16.5685 |
 
 
 ### Framework versions