ziumks/zwave-dbgatekeeper-v0.1

README.md

@@ -3,7 +3,7 @@ license: apache-2.0
 library_name: peft
 tags:
 - generated_from_trainer
-base_model: mistralai/Mistral-7B-v0.1
+base_model: mistralai/Mistral-7B-Instruct-v0.2
 model-index:
 - name: mistral-sql-finetune
   results: []
@@ -14,9 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # mistral-sql-finetune
 
-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.
+This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.1301
+- Loss: 1.7687
 
 ## Model description
 
@@ -42,32 +42,24 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 1
-- training_steps: 500
+- training_steps: 300
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 1.8552        | 0.52  | 25   | 1.3859          |
-| 1.0032        | 1.04  | 50   | 1.2098          |
-| 0.6187        | 1.56  | 75   | 1.2380          |
-| 0.5451        | 2.08  | 100  | 1.3525          |
-| 0.267         | 2.6   | 125  | 1.4362          |
-| 0.2475        | 3.12  | 150  | 1.4954          |
-| 0.1659        | 3.65  | 175  | 1.5494          |
-| 0.1581        | 4.17  | 200  | 1.9906          |
-| 0.1317        | 4.69  | 225  | 1.7269          |
-| 0.1133        | 5.21  | 250  | 1.8710          |
-| 0.1129        | 5.73  | 275  | 1.8427          |
-| 0.1046        | 6.25  | 300  | 1.9983          |
-| 0.1056        | 6.77  | 325  | 1.9216          |
-| 0.0998        | 7.29  | 350  | 2.0076          |
-| 0.0962        | 7.81  | 375  | 2.0135          |
-| 0.0873        | 8.33  | 400  | 2.0257          |
-| 0.0924        | 8.85  | 425  | 2.0783          |
-| 0.0885        | 9.38  | 450  | 2.0932          |
-| 0.0894        | 9.9   | 475  | 2.1196          |
-| 0.0829        | 10.42 | 500  | 2.1301          |
+| 2.349         | 0.52  | 25   | 1.5889          |
+| 1.1213        | 1.04  | 50   | 1.3232          |
+| 0.6369        | 1.56  | 75   | 1.3226          |
+| 0.525         | 2.08  | 100  | 1.3375          |
+| 0.256         | 2.6   | 125  | 1.5105          |
+| 0.2127        | 3.12  | 150  | 1.4755          |
+| 0.145         | 3.65  | 175  | 1.6525          |
+| 0.1388        | 4.17  | 200  | 1.7168          |
+| 0.114         | 4.69  | 225  | 1.7377          |
+| 0.1076        | 5.21  | 250  | 1.7087          |
+| 0.0986        | 5.73  | 275  | 1.7649          |
+| 0.0912        | 6.25  | 300  | 1.7687          |
 
 
 ### Framework versions

adapter_config.json

@@ -1,7 +1,7 @@
 {
   "alpha_pattern": {},
   "auto_mapping": null,
-  "base_model_name_or_path": "mistralai/Mistral-7B-v0.1",
+  "base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
   "bias": "none",
   "fan_in_fan_out": false,
   "inference_mode": true,
@@ -19,14 +19,14 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "q_proj",
-    "k_proj",
-    "o_proj",
-    "gate_proj",
-    "lm_head",
     "up_proj",
     "v_proj",
-    "down_proj"
+    "o_proj",
+    "k_proj",
+    "down_proj",
+    "lm_head",
+    "gate_proj",
+    "q_proj"
   ],
   "task_type": "CAUSAL_LM",
   "use_rslora": false

adapter_model.safetensors

@@ -1,3 +1,3 @@
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 size 864513616

training_args.bin

@@ -1,3 +1,3 @@
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-oid sha256:604d2154728641cb203cde92c016671ee80c32ddcc96c2591194707df13882ab
+oid sha256:a2ff09da45c5ecad2510f9bfecdd441b144eac70e7f493018f072bae08478ca6
 size 4664