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/SmolLM2-135M](https://huggingface.co/HuggingFaceTB/SmolLM2-135M) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 6.6796
+- Loss: 6.8104
 
 ## Model description
 
@@ -47,17 +47,17 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 7.629         | 0.32  | 200  | 6.6328          |
-| 6.3124        | 0.64  | 400  | 6.6325          |
-| 6.3561        | 0.96  | 600  | 6.5846          |
-| 6.338         | 1.28  | 800  | 6.7885          |
-| 6.3065        | 1.6   | 1000 | 6.7319          |
-| 6.3446        | 1.92  | 1200 | 6.6796          |
+| 7.6463        | 0.32  | 200  | 6.4905          |
+| 6.2428        | 0.64  | 400  | 6.3232          |
+| 6.3949        | 0.96  | 600  | 6.5444          |
+| 6.3416        | 1.28  | 800  | 6.8307          |
+| 6.5742        | 1.6   | 1000 | 6.9138          |
+| 6.4862        | 1.92  | 1200 | 6.8104          |
 
 
 ### Framework versions
 
-- Transformers 4.56.1
+- Transformers 4.57.1
 - Pytorch 2.8.0+cu126
 - Datasets 4.0.0
-- Tokenizers 0.22.0
+- Tokenizers 0.22.1