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Duplicate from alnrg2arg/test3_sft_16bit_dpo2

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Co-authored-by: Jeong Hwan LEe <alnrg2arg@users.noreply.huggingface.co>

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README.md ADDED
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+ ---
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+ language:
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+ - en
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+ license: cc-by-nc-4.0
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+ tags:
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+ - text-generation-inference
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+ - transformers
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+ - unsloth
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+ - mistral
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+ - trl
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+ base_model: alnrg2arg/blockchainlabs_7B_merged_test2_4
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+ datasets:
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+ - Intel/orca_dpo_pairs
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+ ---
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+
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+ This is a model from blockchainlab test 2.4 - alnrg2arg/blockchainlabs_7B_merged_test2_4.
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+
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+ The project is running to make a small LLM for a on-device purpose.
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+
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+ Overall pipeline for this iteration is
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+
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+ 1.Merging to make a base model (7B) 2.Prune the model to reduce the parameter (50% sparcity) 3.For recovery phase of the pruning, the DPO is chosen.
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+
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+ This model which is not pruned is intended to compare with the pruned model.
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+
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+ This is the code and parameters I chose for this model(DPO).
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+ ```
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+ from transformers import TrainingArguments, AutoModelForCausalLM
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+ from trl import DPOTrainer
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+
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+ dpo_trainer = DPOTrainer(
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+ model = model,
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+
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+ ref_model = None,
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+ args = TrainingArguments(
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+ per_device_train_batch_size = 8,
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+ gradient_accumulation_steps = 8,
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+ warmup_ratio = 0.1,
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+ num_train_epochs = 3,
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+ learning_rate = 5e-6,
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+ fp16 = not torch.cuda.is_bf16_supported(),
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+ bf16 = torch.cuda.is_bf16_supported(),
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+ logging_steps = 1,
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+ optim = "adamw_8bit",
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+ weight_decay = 0.0,
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+ lr_scheduler_type = "linear",
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+ seed = 42,
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+ output_dir = "output_DPO",
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+ ),
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+ beta = 0.1,
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+ train_dataset = dataset,
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+ # eval_dataset = raw_datasets["test"],
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+ tokenizer = tokenizer,
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+ max_length = 1024,
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+ max_prompt_length = 512,
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+ )
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+ ```
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+ The code and parameters are borrowed from https://colab.research.google.com/drive/1SKrKGV-BZoU4kv5q3g0jtE_OhRgPtrrQ?usp=sharing
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+
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+
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+ Benchmark Scores
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+
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+ | Tasks |Version|Filter|n-shot| Metric |Value | |Stderr|
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+ |-------------|------:|------|-----:|--------|-----:|---|-----:|
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+ |arc_challenge| 1|none | 0|acc |0.6894|± |0.0135|
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+ | | |none | 0|acc_norm|0.6860|± |0.0136|
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+
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+ | Tasks |Version|Filter|n-shot| Metric |Value | |Stderr|
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+ |---------|------:|------|-----:|--------|-----:|---|-----:|
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+ |hellaswag| 1|none | 0|acc |0.7092|± |0.0045|
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+ | | |none | 0|acc_norm|0.8736|± |0.0033|
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+
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+ | Tasks |Version|Filter|n-shot|Metric|Value | |Stderr|
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+ |--------------|------:|------|-----:|------|-----:|---|-----:|
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+ |truthfulqa_mc2| 2|none | 0|acc |0.7126|± | 0.015|
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+
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+ | Groups |Version|Filter|n-shot|Metric|Value | |Stderr|
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+ |------------------|-------|------|-----:|------|-----:|---|-----:|
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+ |mmlu |N/A |none | 0|acc |0.6225|± |0.1292|
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+ | - humanities |N/A |none | 0|acc |0.5745|± |0.1286|
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+ | - other |N/A |none | 0|acc |0.6952|± |0.1095|
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+ | - social_sciences|N/A |none | 0|acc |0.7280|± |0.0735|
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+ | - stem |N/A |none | 0|acc |0.5195|± |0.1313|
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+
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+ | Tasks |Version|Filter|n-shot|Metric|Value| |Stderr|
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+ |----------|------:|------|-----:|------|----:|---|-----:|
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+ |winogrande| 1|none | 0|acc |0.824|± |0.0107|
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+
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+ |Tasks|Version| Filter |n-shot| Metric |Value | |Stderr|
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+ |-----|------:|----------|-----:|-----------|-----:|---|-----:|
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+ |gsm8k| 2|get-answer| 5|exact_match|0.7263|± |0.0123|
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+
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+ Average = 74.08
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+ "_name_or_path": "alnrg2arg/blockchainlabs_7B_merged_test2_4",
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+ "transformers_version": "4.37.1",
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+ "unsloth_version": "2024.1",
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+ "use_cache": false,
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+ "vocab_size": 32000
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+ }
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+ "eos_token": "</s>",
39
+ "legacy": true,
40
+ "model_max_length": 32768,
41
+ "pad_token": "</s>",
42
+ "padding_side": "right",
43
+ "sp_model_kwargs": {},
44
+ "spaces_between_special_tokens": false,
45
+ "split_special_tokens": false,
46
+ "tokenizer_class": "LlamaTokenizer",
47
+ "unk_token": "<unk>",
48
+ "use_default_system_prompt": true
49
+ }