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: 2.9296
-- F1 Micro: 0.1562
-- F1 Macro: 0.1554
-- F1 Weighted: 0.1752
+- Loss: 2.1385
+- F1 Micro: 0.5625
+- F1 Macro: 0.4589
+- F1 Weighted: 0.6365
 
 ## 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 |
 |:-------------:|:------:|:----:|:---------------:|:--------:|:--------:|:-----------:|
-| 3.3046        | 0.0016 | 10   | 2.9296          | 0.1562   | 0.1554   | 0.1752      |
+| 1.5879        | 0.0016 | 10   | 2.1385          | 0.5625   | 0.4589   | 0.6365      |
 
 
 ### Framework versions

adapter_config.json

@@ -23,9 +23,9 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
+    "o_proj",
     "q_proj",
     "v_proj",
-    "o_proj",
     "k_proj"
   ],
   "task_type": "SEQ_CLS",

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:862e39f78acc0ca3c379d55ec9aba980a8c13a7a04a5219ae504a98bd6ba00c5
+oid sha256:f5cfbcf1933bee29334eb84fbaf7bb89ee0fb7ee6178347abeecbd3323c5d432
 size 578881968