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: 5.8003
 
 ## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.3815        | 1.64  | 100  | 2.0042          |
+| 1.934         | 3.28  | 200  | 2.0421          |
+| 1.7512        | 4.92  | 300  | 2.1031          |
+| 1.5047        | 6.56  | 400  | 2.3441          |
+| 1.276         | 8.2   | 500  | 2.6745          |
+| 1.0163        | 9.84  | 600  | 2.9221          |
+| 0.7745        | 11.48 | 700  | 3.3954          |
+| 0.5846        | 13.11 | 800  | 4.0620          |
+| 0.4107        | 14.75 | 900  | 4.2286          |
+| 0.2873        | 16.39 | 1000 | 4.6660          |
+| 0.2062        | 18.03 | 1100 | 5.0101          |
+| 0.1397        | 19.67 | 1200 | 5.3291          |
+| 0.1046        | 21.31 | 1300 | 5.6700          |
+| 0.0788        | 22.95 | 1400 | 5.8003          |
+
+
 ### Framework versions
 
 - PEFT 0.9.0