SmolLM-360M-Instruct_fsdp_qlora_nf4_adapter

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: 1.8076
 
 ## Model description
 
@@ -57,26 +57,26 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch   | Step | Validation Loss |
 |:-------------:|:-------:|:----:|:---------------:|
-| 2.3025        | 0.9524  | 10   | 2.1503          |
-| 2.1107        | 2.0     | 21   | 2.0371          |
-| 2.0147        | 2.9524  | 31   | 1.9716          |
-| 1.9577        | 4.0     | 42   | 1.9244          |
-| 1.9087        | 4.9524  | 52   | 1.8953          |
-| 1.8825        | 6.0     | 63   | 1.8716          |
-| 1.8667        | 6.9524  | 73   | 1.8558          |
-| 1.8488        | 8.0     | 84   | 1.8429          |
-| 1.8285        | 8.9524  | 94   | 1.8343          |
-| 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          |
-| 1.7938        | 14.0    | 147  | 1.8137          |
-| 1.7899        | 14.9524 | 157  | 1.8129          |
-| 1.7903        | 16.0    | 168  | 1.8126          |
-| 1.7884        | 16.9524 | 178  | 1.8125          |
-| 1.7892        | 18.0    | 189  | 1.8124          |
-| 1.7825        | 18.9524 | 199  | 1.8125          |
-| 1.7906        | 19.0476 | 200  | 1.8125          |
+| 2.2932        | 0.9524  | 10   | 2.1445          |
+| 2.105         | 2.0     | 21   | 2.0315          |
+| 2.017         | 2.9524  | 31   | 1.9665          |
+| 1.9535        | 4.0     | 42   | 1.9197          |
+| 1.9104        | 4.9524  | 52   | 1.8906          |
+| 1.888         | 6.0     | 63   | 1.8669          |
+| 1.8552        | 6.9524  | 73   | 1.8511          |
+| 1.8491        | 8.0     | 84   | 1.8384          |
+| 1.8228        | 8.9524  | 94   | 1.8296          |
+| 1.8198        | 10.0    | 105  | 1.8224          |
+| 1.8073        | 10.9524 | 115  | 1.8173          |
+| 1.7958        | 12.0    | 126  | 1.8131          |
+| 1.7958        | 12.9524 | 136  | 1.8106          |
+| 1.792         | 14.0    | 147  | 1.8088          |
+| 1.7843        | 14.9524 | 157  | 1.8080          |
+| 1.7873        | 16.0    | 168  | 1.8077          |
+| 1.7848        | 16.9524 | 178  | 1.8077          |
+| 1.7837        | 18.0    | 189  | 1.8076          |
+| 1.7828        | 18.9524 | 199  | 1.8076          |
+| 1.7827        | 19.0476 | 200  | 1.8076          |
 
 
 ### Framework versions

adapter_config.json

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

adapter_model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:51dbf197b9a00eaeef34909e9e6e4f1c69741bb5b4d1003ddbee4ac6a6badaaf
 size 17426248

runs/Sep04_11-56-07_algo-1/events.out.tfevents.1725450982.algo-1.67.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2aa0682e612c58f7ccc10c5aa8165484911a01ba5b9688217723bc8e4c0736ea
+size 15293

training_args.bin

@@ -1,3 +1,3 @@
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-oid sha256:d66baec8168be38945aef6f74e01084dbd1792505d90526651d84ce0814c4c51
+oid sha256:64ecb0ca58db99f2e515f95ef361e3a5d323e06586f6cbdb868585a6fe08b033
 size 5240