End of training

README.md

@@ -6,6 +6,8 @@ tags:
 - sft
 - generated_from_trainer
 base_model: google/gemma-2b
+datasets:
+- generator
 model-index:
 - name: gemma-2b-dolly-qa
   results: []
@@ -16,7 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # gemma-2b-dolly-qa
 
-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: 2.4690
 
 ## Model description
 
@@ -46,6 +50,14 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_ratio: 0.05
 - training_steps: 200
 
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 2.8295        | 1.6393 | 100  | 2.5585          |
+| 2.5394        | 3.2787 | 200  | 2.4690          |
+
+
 ### Framework versions
 
 - PEFT 0.10.0