End of training

README.md

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.7479
+- Loss: 1.3729
 
 ## Model description
 
@@ -35,7 +35,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0002
+- learning_rate: 2e-05
 - train_batch_size: 2
 - eval_batch_size: 2
 - seed: 42
@@ -43,16 +43,16 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 8
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine
-- training_steps: 2000
+- training_steps: 1000
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.2658        | 80.0  | 500  | 1.5815          |
-| 0.1528        | 160.0 | 1000 | 1.6498          |
-| 0.1488        | 240.0 | 1500 | 1.7232          |
-| 0.1461        | 320.0 | 2000 | 1.7479          |
+| No log        | 40.0  | 250  | 1.0923          |
+| 0.87          | 80.0  | 500  | 1.3174          |
+| 0.87          | 120.0 | 750  | 1.3672          |
+| 0.1748        | 160.0 | 1000 | 1.3729          |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1897b31c72c337b548d9c367700b86c7ea71d9ec1625a5d7940e2a05380a3e83
+oid sha256:d3d87ea65c23bfbfd6efce8bbfe45d47ea7526a7508f30836bf03df9089d4e1f
 size 56660888