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: 2.0223
 
 ## Model description
 
@@ -46,6 +50,26 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_ratio: 0.05
 - training_steps: 1480
 
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss |
+|:-------------:|:-------:|:----:|:---------------:|
+| 2.9293        | 1.6393  | 100  | 2.5752          |
+| 2.4386        | 3.2787  | 200  | 2.2894          |
+| 2.2528        | 4.9180  | 300  | 2.1724          |
+| 2.1653        | 6.5574  | 400  | 2.1080          |
+| 2.1144        | 8.1967  | 500  | 2.0766          |
+| 2.087         | 9.8361  | 600  | 2.0583          |
+| 2.0697        | 11.4754 | 700  | 2.0473          |
+| 2.0493        | 13.1148 | 800  | 2.0395          |
+| 2.0472        | 14.7541 | 900  | 2.0341          |
+| 2.0311        | 16.3934 | 1000 | 2.0300          |
+| 2.029         | 18.0328 | 1100 | 2.0267          |
+| 2.0233        | 19.6721 | 1200 | 2.0245          |
+| 2.0177        | 21.3115 | 1300 | 2.0230          |
+| 2.0136        | 22.9508 | 1400 | 2.0223          |
+
+
 ### Framework versions
 
 - PEFT 0.10.0