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: 3.8016
+- Loss: 3.2164
 
 ## Model description
 
@@ -47,18 +47,18 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 3.3774        | 0.16  | 200  | 3.6302          |
-| 3.2266        | 0.32  | 400  | 3.6187          |
-| 3.0614        | 0.48  | 600  | 3.6052          |
-| 3.0808        | 0.64  | 800  | 3.5946          |
-| 2.954         | 0.8   | 1000 | 3.6008          |
-| 2.9337        | 0.96  | 1200 | 3.5819          |
-| 2.1683        | 1.12  | 1400 | 3.7585          |
-| 1.8936        | 1.28  | 1600 | 3.7982          |
-| 1.9238        | 1.44  | 1800 | 3.7705          |
-| 1.9754        | 1.6   | 2000 | 3.8168          |
-| 1.9493        | 1.76  | 2200 | 3.8041          |
-| 1.9407        | 1.92  | 2400 | 3.8016          |
+| 3.1948        | 0.16  | 200  | 3.2495          |
+| 2.9483        | 0.32  | 400  | 3.1734          |
+| 2.8639        | 0.48  | 600  | 3.1253          |
+| 2.7234        | 0.64  | 800  | 3.1154          |
+| 2.6644        | 0.8   | 1000 | 3.0934          |
+| 2.6771        | 0.96  | 1200 | 3.0747          |
+| 1.9795        | 1.12  | 1400 | 3.2253          |
+| 1.7571        | 1.28  | 1600 | 3.2024          |
+| 1.7604        | 1.44  | 1800 | 3.2253          |
+| 1.8268        | 1.6   | 2000 | 3.2242          |
+| 1.8035        | 1.76  | 2200 | 3.2222          |
+| 1.7959        | 1.92  | 2400 | 3.2164          |
 
 
 ### Framework versions