Adding Evaluation Results (#1)

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	---
	language:
	- en
	license: apache-2.0
	datasets:
	- habanoz/airoboros-3.1-no-mathjson-max-1k
	pipeline_tag: text-generation
	model-index:
	- name: TinyLlama-1.1B-intermediate-step-715k-1.5T-lr-5-1epch-airoboros3.1-1k-instruct-V1
	results:
	- task:
	type: text-generation
	name: Text Generation
	dataset:
	name: AI2 Reasoning Challenge (25-Shot)
	type: ai2_arc
	config: ARC-Challenge
	split: test
	args:
	num_few_shot: 25
	metrics:
	- type: acc_norm
	value: 30.72
	name: normalized accuracy
	source:
	url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=habanoz/TinyLlama-1.1B-intermediate-step-715k-1.5T-lr-5-1epch-airoboros3.1-1k-instruct-V1
	name: Open LLM Leaderboard
	- task:
	type: text-generation
	name: Text Generation
	dataset:
	name: HellaSwag (10-Shot)
	type: hellaswag
	split: validation
	args:
	num_few_shot: 10
	metrics:
	- type: acc_norm
	value: 54.32
	name: normalized accuracy
	source:
	url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=habanoz/TinyLlama-1.1B-intermediate-step-715k-1.5T-lr-5-1epch-airoboros3.1-1k-instruct-V1
	name: Open LLM Leaderboard
	- task:
	type: text-generation
	name: Text Generation
	dataset:
	name: MMLU (5-Shot)
	type: cais/mmlu
	config: all
	split: test
	args:
	num_few_shot: 5
	metrics:
	- type: acc
	value: 24.78
	name: accuracy
	source:
	url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=habanoz/TinyLlama-1.1B-intermediate-step-715k-1.5T-lr-5-1epch-airoboros3.1-1k-instruct-V1
	name: Open LLM Leaderboard
	- task:
	type: text-generation
	name: Text Generation
	dataset:
	name: TruthfulQA (0-shot)
	type: truthful_qa
	config: multiple_choice
	split: validation
	args:
	num_few_shot: 0
	metrics:
	- type: mc2
	value: 41.67
	source:
	url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=habanoz/TinyLlama-1.1B-intermediate-step-715k-1.5T-lr-5-1epch-airoboros3.1-1k-instruct-V1
	name: Open LLM Leaderboard
	- task:
	type: text-generation
	name: Text Generation
	dataset:
	name: Winogrande (5-shot)
	type: winogrande
	config: winogrande_xl
	split: validation
	args:
	num_few_shot: 5
	metrics:
	- type: acc
	value: 57.62
	name: accuracy
	source:
	url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=habanoz/TinyLlama-1.1B-intermediate-step-715k-1.5T-lr-5-1epch-airoboros3.1-1k-instruct-V1
	name: Open LLM Leaderboard
	- task:
	type: text-generation
	name: Text Generation
	dataset:
	name: GSM8k (5-shot)
	type: gsm8k
	config: main
	split: test
	args:
	num_few_shot: 5
	metrics:
	- type: acc
	value: 0.76
	name: accuracy
	source:
	url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=habanoz/TinyLlama-1.1B-intermediate-step-715k-1.5T-lr-5-1epch-airoboros3.1-1k-instruct-V1
	name: Open LLM Leaderboard
	---

	TinyLlama-1.1B-intermediate-step-715k-1.5T finetuned using airoboros-3.1-no-mathjson-max-1k dataset.

	Qlora is used. Adapter is merged.

	SFT code:
	https://github.com/habanoz/qlora.git

	Command used:
	```bash
	accelerate launch $BASE_DIR/qlora/train.py \
	--model_name_or_path $BASE_MODEL \
	--working_dir $BASE_DIR/$OUTPUT_NAME-checkpoints \
	--output_dir $BASE_DIR/$OUTPUT_NAME-peft \
	--merged_output_dir $BASE_DIR/$OUTPUT_NAME \
	--final_output_dir $BASE_DIR/$OUTPUT_NAME-final \
	--num_train_epochs 1 \
	--logging_steps 1 \
	--save_strategy steps \
	--save_steps 75 \
	--save_total_limit 2 \
	--data_seed 11422 \
	--evaluation_strategy steps \
	--per_device_eval_batch_size 4 \
	--eval_dataset_size 0.01 \
	--eval_steps 75 \
	--max_new_tokens 1024 \
	--dataloader_num_workers 3 \
	--logging_strategy steps \
	--do_train \
	--do_eval \
	--lora_r 64 \
	--lora_alpha 16 \
	--lora_modules all \
	--bits 4 \
	--double_quant \
	--quant_type nf4 \
	--lr_scheduler_type constant \
	--dataset habanoz/airoboros-3.1-no-mathjson-max-1k \
	--dataset_format airoboros_chat \
	--model_max_len 1024 \
	--per_device_train_batch_size 4 \
	--gradient_accumulation_steps 4 \
	--learning_rate 1e-5 \
	--adam_beta2 0.999 \
	--max_grad_norm 0.3 \
	--lora_dropout 0.0 \
	--weight_decay 0.0 \
	--seed 11422 \
	--gradient_checkpointing \
	--use_flash_attention_2 \
	--ddp_find_unused_parameters False
	```
	# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
	Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_habanoz__TinyLlama-1.1B-intermediate-step-715k-1.5T-lr-5-1epch-airoboros3.1-1k-instruct-V1)

	\| Metric \|Value\|
	\|---------------------------------\|----:\|
	\|Avg. \|34.98\|
	\|AI2 Reasoning Challenge (25-Shot)\|30.72\|
	\|HellaSwag (10-Shot) \|54.32\|
	\|MMLU (5-Shot) \|24.78\|
	\|TruthfulQA (0-shot) \|41.67\|
	\|Winogrande (5-shot) \|57.62\|
	\|GSM8k (5-shot) \| 0.76\|