|
--- |
|
language: |
|
- en |
|
license: apache-2.0 |
|
datasets: |
|
- OpenAssistant/oasst_top1_2023-08-25 |
|
pipeline_tag: text-generation |
|
model-index: |
|
- name: tinyllama-oasst1-top1-instruct-full-lr1-5-v0.1 |
|
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: 32.85 |
|
name: normalized accuracy |
|
source: |
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=habanoz/tinyllama-oasst1-top1-instruct-full-lr1-5-v0.1 |
|
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: 58.16 |
|
name: normalized accuracy |
|
source: |
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=habanoz/tinyllama-oasst1-top1-instruct-full-lr1-5-v0.1 |
|
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: 25.96 |
|
name: accuracy |
|
source: |
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=habanoz/tinyllama-oasst1-top1-instruct-full-lr1-5-v0.1 |
|
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: 38.35 |
|
source: |
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=habanoz/tinyllama-oasst1-top1-instruct-full-lr1-5-v0.1 |
|
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: 57.7 |
|
name: accuracy |
|
source: |
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=habanoz/tinyllama-oasst1-top1-instruct-full-lr1-5-v0.1 |
|
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: 0.45 |
|
name: accuracy |
|
source: |
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=habanoz/tinyllama-oasst1-top1-instruct-full-lr1-5-v0.1 |
|
name: Open LLM Leaderboard |
|
--- |
|
|
|
TinyLlama-1.1B-intermediate-step-715k-1.5T finetuned using OpenAssistant/oasst_top1_2023-08-25 dataset. |
|
|
|
SFT code: |
|
https://github.com/jzhang38/TinyLlama/tree/main/sft |
|
|
|
Evaluation Results at: |
|
https://huggingface.co/datasets/open-llm-leaderboard/details_habanoz__tinyllama-oasst1-top1-instruct-full-lr1-5-v0.1_public/blob/main/results_2023-11-23T17-25-53.937618.json |
|
|
|
Command used: |
|
```bash |
|
accelerate launch finetune.py \ |
|
--model_name_or_path TinyLlama/TinyLlama-1.1B-intermediate-step-715k-1.5T \ |
|
--output_dir ./output/1_5T_FT_lr1e-5_ep5_top1_2023-08-25 \ |
|
--logging_steps 10 \ |
|
--save_strategy epoch \ |
|
--data_seed 42 \ |
|
--save_total_limit 2 \ |
|
--evaluation_strategy epoch \ |
|
--eval_dataset_size 512 \ |
|
--max_eval_samples 1000 \ |
|
--per_device_eval_batch_size 1 \ |
|
--max_new_tokens 32 \ |
|
--dataloader_num_workers 3 \ |
|
--group_by_length=False \ |
|
--logging_strategy steps \ |
|
--remove_unused_columns False \ |
|
--do_train \ |
|
--do_eval \ |
|
--warmup_ratio 0.05 \ |
|
--lr_scheduler_type constant \ |
|
--dataset OpenAssistant/oasst_top1_2023-08-25 \ |
|
--dataset_format oasst1 \ |
|
--source_max_len 1 \ |
|
--target_max_len 1023 \ |
|
--per_device_train_batch_size 2 \ |
|
--gradient_accumulation_steps 8 \ |
|
--max_steps 0 \ |
|
--num_train_epochs 5 \ |
|
--learning_rate 1e-5 \ |
|
--adam_beta2 0.999 \ |
|
--max_grad_norm 1.0 \ |
|
--weight_decay 0.0 \ |
|
--seed 0 \ |
|
--trust_remote_code |
|
``` |
|
# [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-oasst1-top1-instruct-full-lr1-5-v0.1) |
|
|
|
| Metric |Value| |
|
|---------------------------------|----:| |
|
|Avg. |35.58| |
|
|AI2 Reasoning Challenge (25-Shot)|32.85| |
|
|HellaSwag (10-Shot) |58.16| |
|
|MMLU (5-Shot) |25.96| |
|
|TruthfulQA (0-shot) |38.35| |
|
|Winogrande (5-shot) |57.70| |
|
|GSM8k (5-shot) | 0.45| |
|
|
|
|
