dsmanomano/image-consolidation-models

README.md

@@ -17,9 +17,6 @@ should probably proofread and complete it, then remove this comment. -->
 # image-consolidation-models
 
 This model is a fine-tuned version of [HuggingFaceTB/SmolVLM-Instruct](https://huggingface.co/HuggingFaceTB/SmolVLM-Instruct) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.3098
-- Num Input Tokens Seen: 566737
 
 ## Model description
 
@@ -51,11 +48,6 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Input Tokens Seen |
-|:-------------:|:------:|:----:|:---------------:|:-----------------:|
-| 0.3372        | 0.3226 | 20   | 0.3406          | 192201            |
-| 0.2361        | 0.6452 | 40   | 0.3172          | 381365            |
-| 0.2272        | 0.9677 | 60   | 0.3098          | 566737            |
 
 
 ### Framework versions

adapter_config.json

@@ -20,13 +20,13 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "up_proj",
     "k_proj",
-    "gate_proj",
-    "o_proj",
+    "v_proj",
     "q_proj",
     "down_proj",
-    "v_proj"
+    "o_proj",
+    "gate_proj",
+    "up_proj"
   ],
   "task_type": "CAUSAL_LM",
   "use_dora": true,

adapter_model.safetensors

@@ -1,3 +1,3 @@
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 size 45187904

training_args.bin

@@ -1,3 +1,3 @@
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 size 5688