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SmolLM_1_7B_Instruct_qlora_nf4

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SmolLM-1.7B-Instruct_fsdp_qlora_nf4_adapter

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Files changed (5) hide show
  1. README.md +23 -23
  2. adapter_config.json +6 -6
  3. adapter_model.safetensors +1 -1
  4. runs/Sep04_14-46-19_algo-2/events.out.tfevents.1725461208.algo-2.69.0 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -9,18 +9,18 @@ base_model: HuggingFaceTB/SmolLM-1.7B-Instruct
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  datasets:
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  - generator
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  model-index:
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- - name: SmolLM_1_7B_Instruct_qlora_nf4_merged
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # SmolLM_1_7B_Instruct_qlora_nf4_merged
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  This model is a fine-tuned version of [HuggingFaceTB/SmolLM-1.7B-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM-1.7B-Instruct) on the generator dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.6129
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  ## Model description
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@@ -57,26 +57,26 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-------:|:----:|:---------------:|
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- | 2.088 | 0.9524 | 10 | 1.9222 |
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- | 1.8671 | 2.0 | 21 | 1.7931 |
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- | 1.7735 | 2.9524 | 31 | 1.7340 |
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- | 1.7236 | 4.0 | 42 | 1.6932 |
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- | 1.6739 | 4.9524 | 52 | 1.6680 |
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- | 1.652 | 6.0 | 63 | 1.6494 |
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- | 1.6354 | 6.9524 | 73 | 1.6379 |
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- | 1.6139 | 8.0 | 84 | 1.6288 |
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- | 1.5938 | 8.9524 | 94 | 1.6233 |
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- | 1.5828 | 10.0 | 105 | 1.6189 |
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- | 1.5722 | 10.9524 | 115 | 1.6164 |
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- | 1.5588 | 12.0 | 126 | 1.6149 |
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- | 1.5539 | 12.9524 | 136 | 1.6141 |
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- | 1.5506 | 14.0 | 147 | 1.6134 |
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- | 1.5437 | 14.9524 | 157 | 1.6132 |
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- | 1.5427 | 16.0 | 168 | 1.6130 |
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- | 1.5407 | 16.9524 | 178 | 1.6130 |
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- | 1.5386 | 18.0 | 189 | 1.6130 |
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- | 1.5373 | 18.9524 | 199 | 1.6130 |
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- | 1.5397 | 19.0476 | 200 | 1.6129 |
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  ### Framework versions
 
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  datasets:
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  - generator
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  model-index:
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+ - name: SmolLM_1_7B_Instruct_qlora_nf4
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # SmolLM_1_7B_Instruct_qlora_nf4
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  This model is a fine-tuned version of [HuggingFaceTB/SmolLM-1.7B-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM-1.7B-Instruct) on the generator dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.6111
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-------:|:----:|:---------------:|
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+ | 2.0769 | 0.9524 | 10 | 1.9176 |
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+ | 1.8602 | 2.0 | 21 | 1.7910 |
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+ | 1.7729 | 2.9524 | 31 | 1.7320 |
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+ | 1.7147 | 4.0 | 42 | 1.6913 |
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+ | 1.6753 | 4.9524 | 52 | 1.6662 |
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+ | 1.6518 | 6.0 | 63 | 1.6477 |
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+ | 1.6228 | 6.9524 | 73 | 1.6361 |
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+ | 1.6118 | 8.0 | 84 | 1.6274 |
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+ | 1.5843 | 8.9524 | 94 | 1.6214 |
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+ | 1.5805 | 10.0 | 105 | 1.6173 |
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+ | 1.5712 | 10.9524 | 115 | 1.6151 |
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+ | 1.5524 | 12.0 | 126 | 1.6133 |
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+ | 1.5491 | 12.9524 | 136 | 1.6121 |
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+ | 1.5445 | 14.0 | 147 | 1.6113 |
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+ | 1.5397 | 14.9524 | 157 | 1.6113 |
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+ | 1.5392 | 16.0 | 168 | 1.6114 |
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+ | 1.5337 | 16.9524 | 178 | 1.6111 |
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+ | 1.5347 | 18.0 | 189 | 1.6111 |
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+ | 1.5337 | 18.9524 | 199 | 1.6111 |
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+ | 1.5351 | 19.0476 | 200 | 1.6111 |
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  ### Framework versions
adapter_config.json CHANGED
@@ -20,13 +20,13 @@
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
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- "q_proj",
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- "down_proj",
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- "up_proj",
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- "o_proj",
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- "v_proj",
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  "k_proj",
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- "gate_proj"
 
 
 
 
 
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  ],
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  "task_type": "CAUSAL_LM",
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  "use_dora": false,
 
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
 
 
 
 
 
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  "k_proj",
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+ "v_proj",
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+ "gate_proj",
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+ "o_proj",
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+ "up_proj",
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+ "q_proj",
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+ "down_proj"
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  ],
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  "task_type": "CAUSAL_LM",
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  "use_dora": false,
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runs/Sep04_14-46-19_algo-2/events.out.tfevents.1725461208.algo-2.69.0 ADDED
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