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: 2.1385
-- F1 Micro: 0.5625
-- F1 Macro: 0.4589
-- F1 Weighted: 0.6365
+- Loss: 1.2466
+- F1 Micro: 0.4688
+- F1 Macro: 0.3637
+- F1 Weighted: 0.5576
 
 ## 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 |
 |:-------------:|:------:|:----:|:---------------:|:--------:|:--------:|:-----------:|
-| 1.5879        | 0.0016 | 10   | 2.1385          | 0.5625   | 0.4589   | 0.6365      |
+| 1.949         | 0.0016 | 10   | 1.2466          | 0.4688   | 0.3637   | 0.5576      |
 
 
 ### Framework versions

adapter_config.json

@@ -23,10 +23,10 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "o_proj",
+    "k_proj",
     "q_proj",
     "v_proj",
-    "k_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 sha256:6c13ecad7e01d239461f44c05df1643720178d19b0fec5e2991cda349584a054
 size 578881968