mistral-lp2-org_org_a

README.md

@@ -16,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.3049
-- F1 Micro: 0.6875
-- F1 Macro: 0.6761
-- F1 Weighted: 0.6761
+- Loss: 2.2673
+- F1 Micro: 0.4375
+- F1 Macro: 0.4
+- F1 Weighted: 0.5125
 
 ## Model description
 
@@ -50,7 +50,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | F1 Micro | F1 Macro | F1 Weighted |
 |:-------------:|:------:|:----:|:---------------:|:--------:|:--------:|:-----------:|
-| 3.3696        | 0.0038 | 10   | 1.3049          | 0.6875   | 0.6761   | 0.6761      |
+| 2.0749        | 0.0016 | 10   | 2.2673          | 0.4375   | 0.4      | 0.5125      |
 
 
 ### Framework versions

adapter_config.json

@@ -25,8 +25,8 @@
   "target_modules": [
     "k_proj",
     "q_proj",
-    "o_proj",
-    "v_proj"
+    "v_proj",
+    "o_proj"
   ],
   "task_type": "SEQ_CLS",
   "use_dora": false,

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:10aee89c11acd02e2d287bb18da4ca404e24e3e1f7f2227d7aab3c4c9445bb03
 size 578881968