Model save

README.md

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-135M](https://huggingface.co/HuggingFaceTB/SmolLM2-135M) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1589
+- Loss: 0.1600
 
 ## Model description
 
@@ -35,21 +35,20 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0002
+- learning_rate: 2e-05
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
 - 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
-- num_epochs: 3
+- num_epochs: 2
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.1718        | 1.0   | 2949 | 0.1689          |
-| 0.1609        | 2.0   | 5898 | 0.1607          |
-| 0.1596        | 3.0   | 8847 | 0.1589          |
+| 0.1665        | 1.0   | 2949 | 0.1634          |
+| 0.1594        | 2.0   | 5898 | 0.1600          |
 
 
 ### Framework versions