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: 3.8786
+- Loss: 0.3498
 
 ## Model description
 
@@ -41,21 +41,26 @@ The following hyperparameters were used during training:
 - seed: 42
 - gradient_accumulation_steps: 16
 - total_train_batch_size: 64
-- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- num_epochs: 5
+- num_epochs: 10
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
-| No log        | 0.9275 | 4    | 4.5963          |
-| No log        | 1.9275 | 8    | 4.5550          |
-| 5.207         | 2.9275 | 12   | 4.4240          |
-| 5.207         | 3.9275 | 16   | 4.1611          |
-| 4.7183        | 4.9275 | 20   | 3.8786          |
+| No log        | 0.9275 | 4    | 5.3873          |
+| No log        | 1.9275 | 8    | 5.1770          |
+| 6.4196        | 2.9275 | 12   | 4.5702          |
+| 6.4196        | 3.9275 | 16   | 3.1211          |
+| 4.6448        | 4.9275 | 20   | 2.0151          |
+| 4.6448        | 5.9275 | 24   | 0.5937          |
+| 4.6448        | 6.9275 | 28   | 0.4527          |
+| 0.9737        | 7.9275 | 32   | 0.4155          |
+| 0.9737        | 8.9275 | 36   | 0.3759          |
+| 0.4308        | 9.9275 | 40   | 0.3498          |
 
 
 ### Framework versions