SmolLM-1.7B-Instruct_fsdp_qlora_nf4_adapter

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+base_model: HuggingFaceTB/SmolLM-1.7B-Instruct
+datasets:
+- generator
+model-index:
+- name: SmolLM_1_7B_Instruct_qlora_nf4_merged
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# SmolLM_1_7B_Instruct_qlora_nf4_merged
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 1.6129
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.001
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 16
+- gradient_accumulation_steps: 4
+- 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: cosine
+- lr_scheduler_warmup_ratio: 0.03
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss |
+|:-------------:|:-------:|:----:|:---------------:|
+| 2.088         | 0.9524  | 10   | 1.9222          |
+| 1.8671        | 2.0     | 21   | 1.7931          |
+| 1.7735        | 2.9524  | 31   | 1.7340          |
+| 1.7236        | 4.0     | 42   | 1.6932          |
+| 1.6739        | 4.9524  | 52   | 1.6680          |
+| 1.652         | 6.0     | 63   | 1.6494          |
+| 1.6354        | 6.9524  | 73   | 1.6379          |
+| 1.6139        | 8.0     | 84   | 1.6288          |
+| 1.5938        | 8.9524  | 94   | 1.6233          |
+| 1.5828        | 10.0    | 105  | 1.6189          |
+| 1.5722        | 10.9524 | 115  | 1.6164          |
+| 1.5588        | 12.0    | 126  | 1.6149          |
+| 1.5539        | 12.9524 | 136  | 1.6141          |
+| 1.5506        | 14.0    | 147  | 1.6134          |
+| 1.5437        | 14.9524 | 157  | 1.6132          |
+| 1.5427        | 16.0    | 168  | 1.6130          |
+| 1.5407        | 16.9524 | 178  | 1.6130          |
+| 1.5386        | 18.0    | 189  | 1.6130          |
+| 1.5373        | 18.9524 | 199  | 1.6130          |
+| 1.5397        | 19.0476 | 200  | 1.6129          |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.40.0
+- Pytorch 2.1.0
+- Datasets 2.18.0
+- Tokenizers 0.19.1

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "HuggingFaceTB/SmolLM-1.7B-Instruct",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 8,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "down_proj",
+    "up_proj",
+    "o_proj",
+    "v_proj",
+    "k_proj",
+    "gate_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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runs/Aug30_13-45-02_algo-2/events.out.tfevents.1725025535.algo-2.67.0

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special_tokens_map.json

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+    "lstrip": false,
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+    "single_word": false
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+}

tokenizer_config.json

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+  "chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
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+}

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