End of training

README.md

@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/flan-t5-xl](https://huggingface.co/google/flan-t5-xl) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Execution Accuracy: 67.9884
-- Loss: 0.0904
+- Loss: 0.0957
+- Execution Accuracy: 69.3424
 
 ## Model description
 
@@ -42,7 +42,7 @@ The following hyperparameters were used during training:
 - seed: 1
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 16
+- num_epochs: 17
 
 ### Training results
 
@@ -64,6 +64,7 @@ The following hyperparameters were used during training:
 | 0.0052        | 14.0  | 91770  | 70.793             | 0.0883          |
 | 0.0039        | 15.0  | 98325  | 70.5029            | 0.0936          |
 | 0.005         | 16.0  | 104880 | 67.9884            | 0.0904          |
+| 0.0042        | 17.0  | 111435 | 0.0957             | 69.3424         |
 
 
 ### Framework versions

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:87c4360404638947cf130289ca0aa0b9a575d34646a325c0ef5707733c6c5f95
+oid sha256:53b752b7955d88fc1560b2874e9682406268f9709db3ff80517479dd3f6a2edb
 size 5112