End of training

README.md

@@ -17,12 +17,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.2611
-- Rouge1: 52.9376
-- Rouge2: 26.6333
-- Rougel: 38.5986
-- Rougelsum: 49.139
-- Gen Len: 94.9
+- Loss: 1.4333
+- Rouge1: 51.3497
+- Rouge2: 24.9492
+- Rougel: 37.3016
+- Rougelsum: 47.8317
+- Gen Len: 97.6074
 
 ## Model description
 
@@ -47,13 +47,27 @@ 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: 1
+- num_epochs: 15
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
-| 1.5096        | 1.0   | 540  | 1.2611          | 52.9376 | 26.6333 | 38.5986 | 49.139    | 94.9    |
+| 1.6217        | 1.0   | 540  | 1.4424          | 50.4219 | 24.0335 | 35.9464 | 46.8506   | 90.2630 |
+| 1.0592        | 2.0   | 1080 | 1.4333          | 51.3497 | 24.9492 | 37.3016 | 47.8317   | 97.6074 |
+| 0.723         | 3.0   | 1620 | 1.6339          | 50.9967 | 24.488  | 37.1713 | 47.2127   | 98.6370 |
+| 0.4971        | 4.0   | 2160 | 1.7243          | 51.2797 | 24.0696 | 36.6573 | 47.4137   | 99.8370 |
+| 0.3559        | 5.0   | 2700 | 1.9144          | 51.4203 | 24.3533 | 36.8606 | 47.6179   | 96.4481 |
+| 0.2528        | 6.0   | 3240 | 2.1977          | 51.3129 | 24.724  | 36.992  | 47.8757   | 97.7630 |
+| 0.1804        | 7.0   | 3780 | 2.3279          | 51.3644 | 23.9238 | 36.5924 | 47.2068   | 94.4481 |
+| 0.1331        | 8.0   | 4320 | 2.4088          | 51.742  | 24.7768 | 37.6327 | 48.0398   | 90.7778 |
+| 0.0949        | 9.0   | 4860 | 2.5075          | 52.0502 | 24.8043 | 37.5371 | 48.0676   | 86.2037 |
+| 0.074         | 10.0  | 5400 | 2.5641          | 52.0733 | 25.2822 | 37.6324 | 48.3677   | 93.3370 |
+| 0.0506        | 11.0  | 5940 | 2.7945          | 52.2919 | 25.5404 | 37.956  | 48.4453   | 93.2222 |
+| 0.0343        | 12.0  | 6480 | 2.8614          | 52.0782 | 25.039  | 37.5952 | 48.469    | 89.5222 |
+| 0.0126        | 13.0  | 7020 | 3.0071          | 52.3343 | 25.4229 | 37.8453 | 48.4345   | 92.5889 |
+| 0.0065        | 14.0  | 7560 | 3.0398          | 52.0812 | 24.9641 | 37.409  | 48.2338   | 94.3037 |
+| 0.0032        | 15.0  | 8100 | 3.0438          | 52.184  | 25.1639 | 37.4424 | 48.3197   | 93.2333 |
 
 
 ### Framework versions

pytorch_model.bin

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training_args.bin

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 size 4219