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 [HuggingFaceTB/SmolLM-135M](https://huggingface.co/HuggingFaceTB/SmolLM-135M) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.8719
+- Loss: 2.9966
 
 ## Model description
 
@@ -35,7 +35,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 3e-05
+- learning_rate: 5e-05
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
@@ -47,18 +47,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 2.594         | 0.16  | 200  | 2.9858          |
-| 2.5675        | 0.32  | 400  | 2.9604          |
-| 2.5578        | 0.48  | 600  | 2.9417          |
-| 2.6641        | 0.64  | 800  | 2.9061          |
-| 2.6633        | 0.8   | 1000 | 2.8829          |
-| 2.6115        | 0.96  | 1200 | 2.8656          |
-| 2.4333        | 1.12  | 1400 | 2.8809          |
-| 2.3539        | 1.28  | 1600 | 2.8797          |
-| 2.3336        | 1.44  | 1800 | 2.8743          |
-| 2.334         | 1.6   | 2000 | 2.8731          |
-| 2.3502        | 1.76  | 2200 | 2.8723          |
-| 2.3205        | 1.92  | 2400 | 2.8719          |
+| 3.1852        | 0.32  | 200  | 3.1458          |
+| 2.8767        | 0.64  | 400  | 3.0504          |
+| 2.7815        | 0.96  | 600  | 3.0009          |
+| 2.4577        | 1.28  | 800  | 3.0048          |
+| 2.3987        | 1.6   | 1000 | 2.9972          |
+| 2.3939        | 1.92  | 1200 | 2.9966          |
 
 
 ### Framework versions