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: 3.5012
+- Loss: 6.6796
 
 ## Model description
 
@@ -35,7 +35,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0005
+- learning_rate: 0.01
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
@@ -47,12 +47,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 3.1881        | 0.32  | 200  | 3.4100          |
-| 2.9542        | 0.64  | 400  | 3.3867          |
-| 2.8132        | 0.96  | 600  | 3.3382          |
-| 1.885         | 1.28  | 800  | 3.4916          |
-| 1.8423        | 1.6   | 1000 | 3.4918          |
-| 1.8546        | 1.92  | 1200 | 3.5012          |
+| 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          |
 
 
 ### Framework versions