End of training

README.md

@@ -5,6 +5,8 @@ tags:
 - trl
 - sft
 - generated_from_trainer
+datasets:
+- generator
 base_model: google/gemma-2b
 model-index:
 - name: gemma-2b-dolly-tuned
@@ -16,7 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # gemma-2b-dolly-tuned
 
-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: 2.0192
 
 ## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.9204        | 1.64  | 100  | 2.5693          |
+| 2.4476        | 3.28  | 200  | 2.2830          |
+| 2.2496        | 4.92  | 300  | 2.1630          |
+| 2.141         | 6.56  | 400  | 2.0984          |
+| 2.1131        | 8.2   | 500  | 2.0701          |
+| 2.0799        | 9.84  | 600  | 2.0543          |
+| 2.0593        | 11.48 | 700  | 2.0434          |
+| 2.0529        | 13.11 | 800  | 2.0357          |
+| 2.0433        | 14.75 | 900  | 2.0305          |
+| 2.0322        | 16.39 | 1000 | 2.0264          |
+| 2.0197        | 18.03 | 1100 | 2.0234          |
+| 2.0204        | 19.67 | 1200 | 2.0214          |
+| 2.0153        | 21.31 | 1300 | 2.0199          |
+| 2.0101        | 22.95 | 1400 | 2.0192          |
+
+
 ### Framework versions
 
 - PEFT 0.10.0