Nilimajain/gemma-ft-qa-newnj

README.md

@@ -19,6 +19,8 @@ should probably proofread and complete it, then remove this comment. -->
 # new_genna_nodel
 
 This model is a fine-tuned version of [google/gemma-2b-it](https://huggingface.co/google/gemma-2b-it) on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.7368
 
 ## Model description
 
@@ -44,10 +46,17 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: constant
 - lr_scheduler_warmup_ratio: 0.03
-- num_epochs: 3
+- num_epochs: 5
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.335         | 1.0   | 649  | 2.4869          |
+| 2.1888        | 2.0   | 1298 | 2.5154          |
+| 2.0938        | 3.0   | 1947 | 2.5809          |
+| 1.9877        | 4.0   | 2596 | 2.6546          |
+| 1.8859        | 5.0   | 3245 | 2.7368          |
 
 
 ### Framework versions

adapter_config.json

@@ -20,12 +20,12 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "up_proj",
-    "v_proj",
+    "k_proj",
+    "gate_proj",
     "o_proj",
     "q_proj",
-    "k_proj",
-    "gate_proj"
+    "v_proj",
+    "up_proj"
   ],
   "task_type": "CAUSAL_LM",
   "use_dora": false,

adapter_model.safetensors

@@ -1,3 +1,3 @@
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 size 14331480

runs/Aug18_05-09-36_0954fd5125d6/events.out.tfevents.1723957949.0954fd5125d6.1083.0

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+size 34676

training_args.bin

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