mistral-finetuned-clinical

README.md

@@ -18,7 +18,7 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9995
+- Loss: 0.9724
 
 ## Model description
 
@@ -52,11 +52,40 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 1.0395        | 0.2   | 20   | 1.0262          |
-| 1.0504        | 0.4   | 40   | 1.0114          |
-| 1.022         | 0.6   | 60   | 1.0034          |
-| 0.9974        | 0.8   | 80   | 1.0004          |
-| 0.9971        | 1.0   | 100  | 0.9995          |
+| 1.0248        | 0.03  | 50   | 1.0145          |
+| 1.0168        | 0.06  | 100  | 1.0078          |
+| 1.008         | 0.09  | 150  | 1.0058          |
+| 1.0082        | 0.12  | 200  | 1.0030          |
+| 0.9846        | 0.14  | 250  | 1.0005          |
+| 0.9807        | 0.17  | 300  | 0.9998          |
+| 0.9968        | 0.2   | 350  | 0.9992          |
+| 0.9834        | 0.23  | 400  | 0.9967          |
+| 1.0267        | 0.26  | 450  | 0.9953          |
+| 1.0119        | 0.29  | 500  | 0.9937          |
+| 0.9759        | 0.32  | 550  | 0.9939          |
+| 0.9978        | 0.35  | 600  | 0.9921          |
+| 1.0145        | 0.38  | 650  | 0.9901          |
+| 1.0064        | 0.4   | 700  | 0.9897          |
+| 0.9949        | 0.43  | 750  | 0.9890          |
+| 0.9936        | 0.46  | 800  | 0.9865          |
+| 0.9944        | 0.49  | 850  | 0.9852          |
+| 0.9819        | 0.52  | 900  | 0.9845          |
+| 0.9991        | 0.55  | 950  | 0.9826          |
+| 0.9874        | 0.58  | 1000 | 0.9812          |
+| 0.981         | 0.61  | 1050 | 0.9798          |
+| 0.9807        | 0.64  | 1100 | 0.9789          |
+| 0.9639        | 0.67  | 1150 | 0.9776          |
+| 0.9645        | 0.69  | 1200 | 0.9767          |
+| 0.9788        | 0.72  | 1250 | 0.9758          |
+| 0.9823        | 0.75  | 1300 | 0.9751          |
+| 0.9906        | 0.78  | 1350 | 0.9745          |
+| 0.9536        | 0.81  | 1400 | 0.9738          |
+| 0.9635        | 0.84  | 1450 | 0.9732          |
+| 0.9754        | 0.87  | 1500 | 0.9729          |
+| 0.9785        | 0.9   | 1550 | 0.9727          |
+| 0.9828        | 0.93  | 1600 | 0.9725          |
+| 0.9951        | 0.95  | 1650 | 0.9724          |
+| 0.983         | 0.98  | 1700 | 0.9724          |
 
 
 ### Framework versions

adapter_config.json

@@ -19,13 +19,13 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "up_proj",
     "v_proj",
-    "o_proj",
-    "down_proj",
-    "k_proj",
     "q_proj",
-    "gate_proj"
+    "gate_proj",
+    "down_proj",
+    "o_proj",
+    "up_proj",
+    "k_proj"
   ],
   "task_type": "CAUSAL_LM",
   "use_dora": false,

adapter_model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:a5a2351fb8d9722413f891c353d531fbddecc049984d48bf64c4c063c144c1a7
 size 671149168

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a0e31a97ef3b821907f6e35303c33fda779d263ffde0b906065a349e861e8295
+oid sha256:e5f0012504e5862af840860bf7a91b6c215c14b0ad783b9adef9fe6669bb8300
 size 4856