Model save

README.md

@@ -16,12 +16,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [ybelkada/flan-t5-xl-sharded-bf16](https://huggingface.co/ybelkada/flan-t5-xl-sharded-bf16) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7669
-- Rouge1: 24.6538
-- Rouge2: 17.821
-- Rougel: 21.5884
-- Rougelsum: 21.9045
-- Gen Len: 13.0515
+- Loss: 0.6594
+- Rouge1: 34.2696
+- Rouge2: 25.7973
+- Rougel: 30.5609
+- Rougelsum: 30.9651
+- Gen Len: 10.5326
 
 ## Model description
 
@@ -46,18 +46,25 @@ 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
-- lr_scheduler_warmup_steps: 500
-- num_epochs: 5
+- lr_scheduler_warmup_steps: 200
+- num_epochs: 12
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
-| No log        | 1.0   | 328  | 24.8987         | 29.9366 | 22.9687 | 26.9975 | 27.1774   | 11.1203 |
-| 25.467        | 2.0   | 656  | 1.3504          | 51.142  | 49.8705 | 51.1588 | 51.1528   | 0.0     |
-| 25.467        | 3.0   | 984  | 0.8221          | 19.5594 | 12.7325 | 16.4586 | 16.7605   | 14.9278 |
-| 1.8759        | 4.0   | 1312 | 0.7783          | 21.8348 | 14.9645 | 18.7764 | 19.0709   | 14.1100 |
-| 0.8715        | 5.0   | 1640 | 0.7669          | 24.6538 | 17.821  | 21.5884 | 21.9045   | 13.0515 |
+| No log        | 1.0   | 328  | 8.0966          | 16.5418 | 10.3523 | 13.972  | 14.1918   | 15.5773 |
+| 18.3143       | 2.0   | 656  | 0.9260          | 31.5806 | 27.0287 | 29.6916 | 30.0327   | 8.8969  |
+| 18.3143       | 3.0   | 984  | 0.7708          | 22.6847 | 15.805  | 19.6336 | 19.8945   | 13.8076 |
+| 1.0739        | 4.0   | 1312 | 0.7308          | 35.1675 | 27.3998 | 31.8527 | 32.0356   | 9.6186  |
+| 0.8085        | 5.0   | 1640 | 0.7084          | 34.4346 | 26.202  | 30.8999 | 31.212    | 10.1168 |
+| 0.8085        | 6.0   | 1968 | 0.6924          | 34.3345 | 26.0144 | 30.692  | 31.0384   | 10.2680 |
+| 0.7597        | 7.0   | 2296 | 0.6813          | 34.3854 | 26.0495 | 30.8335 | 31.1696   | 10.3196 |
+| 0.7442        | 8.0   | 2624 | 0.6729          | 34.3758 | 26.0079 | 30.7863 | 31.1239   | 10.3608 |
+| 0.7442        | 9.0   | 2952 | 0.6670          | 34.2115 | 25.7443 | 30.5369 | 30.9282   | 10.4983 |
+| 0.7252        | 10.0  | 3280 | 0.6625          | 34.2518 | 25.7147 | 30.5433 | 30.9116   | 10.5292 |
+| 0.7168        | 11.0  | 3608 | 0.6601          | 34.0539 | 25.5073 | 30.329  | 30.6828   | 10.6186 |
+| 0.7168        | 12.0  | 3936 | 0.6594          | 34.2696 | 25.7973 | 30.5609 | 30.9651   | 10.5326 |
 
 
 ### Framework versions

logs/events.out.tfevents.1701193818.14b4f161e0eb.244.1

@@ -0,0 +1,3 @@
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+oid sha256:988b144c06a7d832f5c657b2afc8f6c02cb906e7f34e6b30f88023113d003089
+size 613