End of training

README.md

@@ -15,7 +15,7 @@ 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: 1.1600
+- Loss: 1.4282
 
 ## Model description
 
@@ -40,17 +40,27 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine
-- num_epochs: 5
+- training_steps: 1500
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss |
-|:-------------:|:-----:|:-----:|:---------------:|
-| 1.5428        | 1.0   | 12364 | 1.4610          |
-| 1.4145        | 2.0   | 24728 | 1.3385          |
-| 1.3136        | 3.0   | 37092 | 1.2388          |
-| 1.2444        | 4.0   | 49456 | 1.1757          |
-| 1.1791        | 5.0   | 61820 | 1.1600          |
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.4485        | 0.4   | 100  | 2.0478          |
+| 2.0521        | 0.8   | 200  | 1.9223          |
+| 1.9626        | 1.2   | 300  | 1.8386          |
+| 1.8707        | 1.6   | 400  | 1.7702          |
+| 1.79          | 2.0   | 500  | 1.7149          |
+| 1.7197        | 2.4   | 600  | 1.6567          |
+| 1.6904        | 2.8   | 700  | 1.6055          |
+| 1.6379        | 3.2   | 800  | 1.5583          |
+| 1.5794        | 3.6   | 900  | 1.5267          |
+| 1.5977        | 4.0   | 1000 | 1.4928          |
+| 1.4773        | 4.4   | 1100 | 1.4638          |
+| 1.5185        | 4.8   | 1200 | 1.4446          |
+| 1.4476        | 5.2   | 1300 | 1.4337          |
+| 1.4321        | 5.6   | 1400 | 1.4287          |
+| 1.4393        | 6.0   | 1500 | 1.4282          |
 
 
 ### Framework versions