HuggingFaceTB/SmolLM-360M-Instruct

README.md

@@ -20,7 +20,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [HuggingFaceTB/SmolLM-360M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM-360M-Instruct) on the generator dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.8125
+- Loss: 1.8124
 
 ## Model description
 
@@ -57,10 +57,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch   | Step | Validation Loss |
 |:-------------:|:-------:|:----:|:---------------:|
-| 2.3024        | 0.9524  | 10   | 2.1503          |
-| 2.1107        | 2.0     | 21   | 2.0370          |
-| 2.0147        | 2.9524  | 31   | 1.9716          |
-| 1.9577        | 4.0     | 42   | 1.9243          |
+| 2.3025        | 0.9524  | 10   | 2.1503          |
+| 2.1107        | 2.0     | 21   | 2.0371          |
+| 2.0147        | 2.9524  | 31   | 1.9717          |
+| 1.9577        | 4.0     | 42   | 1.9244          |
 | 1.9087        | 4.9524  | 52   | 1.8953          |
 | 1.8825        | 6.0     | 63   | 1.8716          |
 | 1.8667        | 6.9524  | 73   | 1.8558          |
@@ -69,14 +69,14 @@ The following hyperparameters were used during training:
 | 1.8201        | 10.0    | 105  | 1.8270          |
 | 1.8129        | 10.9524 | 115  | 1.8219          |
 | 1.8028        | 12.0    | 126  | 1.8179          |
-| 1.7987        | 12.9524 | 136  | 1.8155          |
+| 1.7987        | 12.9524 | 136  | 1.8154          |
 | 1.7938        | 14.0    | 147  | 1.8137          |
-| 1.79          | 14.9524 | 157  | 1.8129          |
-| 1.7902        | 16.0    | 168  | 1.8126          |
+| 1.79          | 14.9524 | 157  | 1.8130          |
+| 1.7903        | 16.0    | 168  | 1.8125          |
 | 1.7884        | 16.9524 | 178  | 1.8125          |
-| 1.7892        | 18.0    | 189  | 1.8125          |
-| 1.7825        | 18.9524 | 199  | 1.8125          |
-| 1.7906        | 19.0476 | 200  | 1.8125          |
+| 1.7892        | 18.0    | 189  | 1.8124          |
+| 1.7825        | 18.9524 | 199  | 1.8124          |
+| 1.7906        | 19.0476 | 200  | 1.8124          |
 
 
 ### Framework versions

adapter_config.json

@@ -20,13 +20,13 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "v_proj",
-    "gate_proj",
-    "up_proj",
     "down_proj",
-    "q_proj",
+    "up_proj",
     "k_proj",
-    "o_proj"
+    "o_proj",
+    "gate_proj",
+    "q_proj",
+    "v_proj"
   ],
   "task_type": "CAUSAL_LM",
   "use_dora": false,

adapter_model.safetensors

@@ -1,3 +1,3 @@
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 size 17426248

runs/Aug29_08-59-43_algo-1/events.out.tfevents.1724921998.algo-1.64.0

@@ -0,0 +1,3 @@
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+size 15293

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:ffb891aaeedb3a47b413f2f6bdeaae24fc3fb6357cd817677088b24fa84b10a2
 size 5240