End of training

README.md

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [HuggingFaceM4/idefics-9b](https://huggingface.co/HuggingFaceM4/idefics-9b) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4510
+- Loss: 1.6324
 
 ## Model description
 
@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 2.1331        | 5.71  | 10   | 1.9393          |
-| 1.4247        | 11.43 | 20   | 1.5491          |
-| 1.1674        | 17.14 | 30   | 1.4530          |
-| 1.0168        | 22.86 | 40   | 1.4361          |
-| 0.8797        | 28.57 | 50   | 1.4510          |
+| 2.1526        | 5.71  | 10   | 2.0213          |
+| 1.4147        | 11.43 | 20   | 1.6357          |
+| 1.1461        | 17.14 | 30   | 1.5834          |
+| 1.002         | 22.86 | 40   | 1.6000          |
+| 0.897         | 28.57 | 50   | 1.6324          |
 
 
 ### Framework versions

adapter_config.json

@@ -23,8 +23,8 @@
   "revision": null,
   "target_modules": [
     "q_proj",
-    "v_proj",
-    "k_proj"
+    "k_proj",
+    "v_proj"
   ],
   "task_type": null,
   "use_dora": false,

adapter_model.safetensors

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training_args.bin

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 size 4856