ai-maker-space/mistral-7binstruct-summary-100s

README.md

@@ -20,7 +20,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the generator dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4697
+- Loss: 1.4714
 
 ## Model description
 
@@ -52,8 +52,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 1.7477        | 0.22  | 25   | 1.5467          |
-| 1.5357        | 0.43  | 50   | 1.4697          |
+| 1.7273        | 0.22  | 25   | 1.5529          |
+| 1.4993        | 0.43  | 50   | 1.4714          |
 
 
 ### Framework versions

adapter_config.json

@@ -19,8 +19,8 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "q_proj",
-    "v_proj"
+    "v_proj",
+    "q_proj"
   ],
   "task_type": "CAUSAL_LM",
   "use_dora": false,

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6262b48d512837336a31d4323afd2829c17b48ec9b739b7b56cb0a79ff7f05e7
+oid sha256:1e8eeda03de5cc933ad0e61d3e6cf1d4824230d7fc1ae5920e2feb17a4e3afc9
 size 27280152

runs/Mar03_19-39-00_f36367c43fa9/events.out.tfevents.1709494970.f36367c43fa9.5172.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5c873d93c9efc524244e7e6e64b645cf54ffafbd091e1a360f1e9ac5b7b0de39
+size 6966

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9c96ec334d24a64c86756c1fe62b3ceb34334a7189769a6c7f65ad5458990147
+oid sha256:ab159e9b6ef8ea4c07ac3740ef83bb0c716314449acd2a9bcae4bafeedd54aa0
 size 4920