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base_model: huggyllama/llama-30b
base_model_config: huggyllama/llama-30b
model_type: LlamaForCausalLM
tokenizer_type: LlamaTokenizer
load_in_8bit: false
load_in_4bit: false
strict: false
push_dataset_to_hub: winglian
hf_use_auth_token: true
datasets:
- path: winglian/pygmalion-cleaned
data_files:
- v13_no_ai.cleaned.jsonl
type: pygmalion
- path: winglian/evals
data_files:
- hf/ARC-Challenge.jsonl
- hf/ARC-Easy.jsonl
- hf/riddle_sense.jsonl
type: explainchoice:chat
- path: winglian/evals
data_files:
- hf/gsm8k.jsonl
- custom/logic_inference_oa.jsonl
type: alpaca_chat.load_qa
- path: winglian/evals
data_files:
- custom/in_context_qa.jsonl
type: context_qa
- path: winglian/evals
data_files:
- custom/in_context_qa.jsonl
type: context_qa.load_404
- path: winglian/evals
data_files:
- custom/jokes_explained_500up.jsonl
type: sharegpt_jokes
- path: winglian/evals
data_files:
- custom/classify-self-chat.sharegpt.jsonl
- custom/coding-self-chat.sharegpt.jsonl
- custom/prose-gpt4.sharegpt.jsonl
- custom/prose-rewrite-gpt4.sharegpt.jsonl
type: sharegpt_simple
- path: winglian/evals
data_files:
- custom/guanaco-cleaned.en.jsonl
type: sharegpt_simple.load_guanaco
- path: winglian/evals
data_files:
- openai/tldr.jsonl
type: summarizetldr:chat
- path: winglian/evals
data_files:
- hellaswag/hellaswag.jsonl
type: explainchoice:chat
shards: 60
- path: metaeval/ScienceQA_text_only
type: concisechoice:chat
shards: 13
- path: teknium/GPTeacher-General-Instruct
data_files: gpt4-instruct-similarity-0.6-dataset.json
type: gpteacher:chat
- path: QingyiSi/Alpaca-CoT
data_files:
- Chain-of-Thought/formatted_cot_data/aqua_train.json
- Chain-of-Thought/formatted_cot_data/creak_train.json
- Chain-of-Thought/formatted_cot_data/ecqa_train.json
- Chain-of-Thought/formatted_cot_data/esnli_train.json
- Chain-of-Thought/formatted_cot_data/gsm8k_train.json
- Chain-of-Thought/formatted_cot_data/qasc_train.json
- Chain-of-Thought/formatted_cot_data/qed_train.json
- Chain-of-Thought/formatted_cot_data/sensemaking_train.json
- Chain-of-Thought/formatted_cot_data/strategyqa_train.json
- GPTeacher/Roleplay/formatted_roleplay-similarity_0.6-instruct-dataset.json
type: alpaca_chat
dataset_prepared_path: /workspace/mnt/last_run_prepared
val_set_size: 0.02
adapter:
lora_model_dir:
sequence_len: 2048
max_packed_sequence_len: 2048
lora_r: 64
lora_alpha: 32
lora_dropout: 0.000001
lora_target_modules:
lora_target_linear: true
lora_fan_in_fan_out:
wandb_project: hippogriff-30b-chat
wandb_watch:
wandb_run_id:
wandb_log_model:
output_dir: /workspace/mnt/hippogriff-30b-chat
gradient_accumulation_steps: 1
micro_batch_size: 20
num_epochs: 2
optimizer:
torchdistx_path:
lr_scheduler:
learning_rate: 0.00003
train_on_inputs: false
group_by_length: true
bf16: true
fp16: false
float16: false
tf32: true
gradient_checkpointing: true
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention: true
flash_attention:
gptq_groupsize:
gptq_model_v1:
warmup_steps: 200
eval_steps: 20
save_steps: 50
debug:
deepspeed:
weight_decay: 0.000003
fsdp:
fsdp_config:
special_tokens:
bos_token: "<s>"
eos_token: "</s>"
unk_token: "<unk>"
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