End of training

README.md

@@ -6,6 +6,8 @@ tags:
 - sft
 - generated_from_trainer
 base_model: google/gemma-2b
+datasets:
+- generator
 model-index:
 - name: Not-so-bright-AGI-v1
   results: []
@@ -16,7 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Not-so-bright-AGI-v1
 
-This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset.
+This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.1509
 
 ## Model description
 
@@ -46,6 +50,17 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_ratio: 0.05
 - training_steps: 593
 
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 2.863         | 0.8197 | 100  | 2.5317          |
+| 2.4375        | 1.6393 | 200  | 2.3196          |
+| 2.3075        | 2.4590 | 300  | 2.2222          |
+| 2.2199        | 3.2787 | 400  | 2.1742          |
+| 2.1956        | 4.0984 | 500  | 2.1509          |
+
+
 ### Framework versions
 
 - PEFT 0.10.0