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: 2.0211
 
 ## 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 |
+|:-------------:|:-------:|:----:|:---------------:|
+| 2.9203        | 1.6393  | 100  | 2.5631          |
+| 2.4253        | 3.2787  | 200  | 2.2695          |
+| 2.2443        | 4.9180  | 300  | 2.1581          |
+| 2.1512        | 6.5574  | 400  | 2.1002          |
+| 2.1033        | 8.1967  | 500  | 2.0723          |
+| 2.0876        | 9.8361  | 600  | 2.0565          |
+| 2.0668        | 11.4754 | 700  | 2.0460          |
+| 2.0478        | 13.1148 | 800  | 2.0387          |
+| 2.0403        | 14.7541 | 900  | 2.0328          |
+| 2.0366        | 16.3934 | 1000 | 2.0286          |
+| 2.0238        | 18.0328 | 1100 | 2.0255          |
+| 2.0231        | 19.6721 | 1200 | 2.0233          |
+| 2.0126        | 21.3115 | 1300 | 2.0220          |
+| 2.0164        | 22.9508 | 1400 | 2.0211          |
+
+
 ### Framework versions
 
 - PEFT 0.10.0