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: 5.8003
+This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset.
 
 ## Model description
 
@@ -39,7 +35,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0002
+- learning_rate: 1e-05
 - train_batch_size: 2
 - eval_batch_size: 8
 - seed: 42
@@ -48,27 +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: 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          |
-
+- training_steps: 296
 
 ### Framework versions
 

adapter_config.json

@@ -10,7 +10,7 @@
   "layers_to_transform": null,
   "loftq_config": {},
   "lora_alpha": 16,
-  "lora_dropout": 0.1,
+  "lora_dropout": 0.2,
   "megatron_config": null,
   "megatron_core": "megatron.core",
   "modules_to_save": null,
@@ -19,13 +19,13 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "q_proj",
-    "o_proj",
     "k_proj",
     "up_proj",
+    "q_proj",
     "down_proj",
+    "gate_proj",
     "v_proj",
-    "gate_proj"
+    "o_proj"
   ],
   "task_type": "CAUSAL_LM",
   "use_dora": false,

adapter_model.safetensors

@@ -1,3 +1,3 @@
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 size 156926880

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:98fa1f114646a4077cf36abc71f213ba77366cd3fffe06fc111a9781268be21f
 size 4856