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: 1.7710
+- Loss: 1.8125
 
 ## Model description
 
@@ -49,7 +49,7 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 256
 - total_eval_batch_size: 64
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: constant
+- lr_scheduler_type: cosine
 - lr_scheduler_warmup_ratio: 0.03
 - num_epochs: 20
 
@@ -57,26 +57,26 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch   | Step | Validation Loss |
 |:-------------:|:-------:|:----:|:---------------:|
-| 2.2354        | 0.9524  | 10   | 2.1179          |
-| 2.0715        | 2.0     | 21   | 2.0075          |
-| 1.9885        | 2.9524  | 31   | 1.9518          |
-| 1.9385        | 4.0     | 42   | 1.9090          |
-| 1.8925        | 4.9524  | 52   | 1.8811          |
-| 1.867         | 6.0     | 63   | 1.8578          |
-| 1.8507        | 6.9524  | 73   | 1.8416          |
-| 1.8314        | 8.0     | 84   | 1.8279          |
-| 1.8086        | 8.9524  | 94   | 1.8177          |
-| 1.7969        | 10.0    | 105  | 1.8085          |
-| 1.7858        | 10.9524 | 115  | 1.8016          |
-| 1.7711        | 12.0    | 126  | 1.7957          |
-| 1.7616        | 12.9524 | 136  | 1.7904          |
-| 1.7504        | 14.0    | 147  | 1.7854          |
-| 1.7399        | 14.9524 | 157  | 1.7821          |
-| 1.732         | 16.0    | 168  | 1.7791          |
-| 1.7218        | 16.9524 | 178  | 1.7755          |
-| 1.7142        | 18.0    | 189  | 1.7735          |
-| 1.6992        | 18.9524 | 199  | 1.7708          |
-| 1.6993        | 19.0476 | 200  | 1.7710          |
+| 2.3024        | 0.9524  | 10   | 2.1503          |
+| 2.1107        | 2.0     | 21   | 2.0371          |
+| 2.0147        | 2.9524  | 31   | 1.9716          |
+| 1.9577        | 4.0     | 42   | 1.9243          |
+| 1.9088        | 4.9524  | 52   | 1.8952          |
+| 1.8825        | 6.0     | 63   | 1.8716          |
+| 1.8667        | 6.9524  | 73   | 1.8558          |
+| 1.8488        | 8.0     | 84   | 1.8429          |
+| 1.8284        | 8.9524  | 94   | 1.8343          |
+| 1.8201        | 10.0    | 105  | 1.8270          |
+| 1.8129        | 10.9524 | 115  | 1.8220          |
+| 1.8028        | 12.0    | 126  | 1.8179          |
+| 1.7987        | 12.9524 | 136  | 1.8155          |
+| 1.7938        | 14.0    | 147  | 1.8137          |
+| 1.79          | 14.9524 | 157  | 1.8130          |
+| 1.7903        | 16.0    | 168  | 1.8126          |
+| 1.7884        | 16.9524 | 178  | 1.8125          |
+| 1.7892        | 18.0    | 189  | 1.8125          |
+| 1.7825        | 18.9524 | 199  | 1.8124          |
+| 1.7906        | 19.0476 | 200  | 1.8125          |
 
 
 ### Framework versions

adapter_config.json

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

adapter_model.safetensors

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

runs/Aug28_14-07-12_algo-1/events.out.tfevents.1724854048.algo-1.67.0

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+size 15292

training_args.bin

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 size 5240