Model save

README.md

@@ -6,8 +6,6 @@ tags:
 - sft
 - generated_from_trainer
 base_model: google/gemma-2b
-datasets:
-- generator
 model-index:
 - name: gemma-2b-dolly-qa
   results: []
@@ -18,9 +16,7 @@ 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 the generator dataset.
-It achieves the following results on the evaluation set:
-- Loss: 2.4690
+This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset.
 
 ## Model description
 
@@ -48,15 +44,7 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - 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          |
-
+- training_steps: 1480
 
 ### Framework versions
 

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fe2dfb61fa68f87785bca7c4b31bbf2797edf7cd7036852277b807f936b5c17c
+oid sha256:657a8a9c2bb35d84a476d3095c97851b469678cebbce8e3f10bc206bf23bbe76
 size 156926880