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Model: habanoz/TinyLlama-1.1B-intermediate-step-715k-1.5T-lr-5-2.2epochs-oasst1-top1-instruct-V1 Source: Original Platform
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README.md
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README.md
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---
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language:
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- en
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license: apache-2.0
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datasets:
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- OpenAssistant/oasst_top1_2023-08-25
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pipeline_tag: text-generation
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model-index:
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- name: TinyLlama-1.1B-intermediate-step-715k-1.5T-lr-5-2.2epochs-oasst1-top1-instruct-V1
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results:
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: AI2 Reasoning Challenge (25-Shot)
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type: ai2_arc
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config: ARC-Challenge
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split: test
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args:
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num_few_shot: 25
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metrics:
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- type: acc_norm
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value: 31.48
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=habanoz/TinyLlama-1.1B-intermediate-step-715k-1.5T-lr-5-2.2epochs-oasst1-top1-instruct-V1
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: HellaSwag (10-Shot)
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type: hellaswag
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split: validation
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args:
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num_few_shot: 10
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metrics:
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- type: acc_norm
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value: 54.4
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=habanoz/TinyLlama-1.1B-intermediate-step-715k-1.5T-lr-5-2.2epochs-oasst1-top1-instruct-V1
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MMLU (5-Shot)
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type: cais/mmlu
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config: all
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 25.47
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=habanoz/TinyLlama-1.1B-intermediate-step-715k-1.5T-lr-5-2.2epochs-oasst1-top1-instruct-V1
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: TruthfulQA (0-shot)
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type: truthful_qa
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config: multiple_choice
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split: validation
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args:
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num_few_shot: 0
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metrics:
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- type: mc2
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value: 42.34
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=habanoz/TinyLlama-1.1B-intermediate-step-715k-1.5T-lr-5-2.2epochs-oasst1-top1-instruct-V1
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: Winogrande (5-shot)
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type: winogrande
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config: winogrande_xl
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split: validation
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 57.54
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=habanoz/TinyLlama-1.1B-intermediate-step-715k-1.5T-lr-5-2.2epochs-oasst1-top1-instruct-V1
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: GSM8k (5-shot)
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type: gsm8k
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config: main
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 1.44
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=habanoz/TinyLlama-1.1B-intermediate-step-715k-1.5T-lr-5-2.2epochs-oasst1-top1-instruct-V1
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name: Open LLM Leaderboard
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---
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TinyLlama-1.1B-intermediate-step-715k-1.5T finetuned using OpenAssistant/oasst_top1_2023-08-25 dataset.
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Qlora is used. Adapter is merged.
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SFT code:
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https://github.com/habanoz/qlora.git
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Command used:
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```bash
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accelerate launch $BASE_DIR/qlora/train.py \
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--model_name_or_path $BASE_MODEL \
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--working_dir $BASE_DIR/$OUTPUT_NAME-checkpoints \
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--output_dir $BASE_DIR/$OUTPUT_NAME-peft \
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--merged_output_dir $BASE_DIR/$OUTPUT_NAME \
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--final_output_dir $BASE_DIR/$OUTPUT_NAME-final \
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--num_train_epochs 2 \
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--logging_steps 1 \
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--save_strategy steps \
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--save_steps 75 \
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--save_total_limit 2 \
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--data_seed 11422 \
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--evaluation_strategy steps \
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--per_device_eval_batch_size 4 \
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--eval_dataset_size 0.01 \
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--eval_steps 75 \
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--max_new_tokens 1024 \
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--dataloader_num_workers 3 \
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--logging_strategy steps \
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--do_train \
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--do_eval \
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--lora_r 64 \
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--lora_alpha 16 \
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--lora_modules all \
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--bits 4 \
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--double_quant \
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--quant_type nf4 \
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--lr_scheduler_type constant \
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--dataset oasst1-top1 \
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--dataset_format oasst1 \
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--model_max_len 1024 \
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--per_device_train_batch_size 4 \
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--gradient_accumulation_steps 4 \
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--learning_rate 1e-5 \
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--adam_beta2 0.999 \
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--max_grad_norm 0.3 \
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--lora_dropout 0.0 \
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--weight_decay 0.0 \
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--seed 11422 \
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--gradient_checkpointing \
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--use_flash_attention_2 \
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--ddp_find_unused_parameters False
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```
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_habanoz__TinyLlama-1.1B-intermediate-step-715k-1.5T-lr-5-2.2epochs-oasst1-top1-instruct-V1)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |35.45|
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|AI2 Reasoning Challenge (25-Shot)|31.48|
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|HellaSwag (10-Shot) |54.40|
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|MMLU (5-Shot) |25.47|
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|TruthfulQA (0-shot) |42.34|
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|Winogrande (5-shot) |57.54|
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|GSM8k (5-shot) | 1.44|
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