more config pruning and migrating

This commit is contained in:
Wing Lian
2023-06-11 10:09:05 -04:00
parent f620706776
commit c530e4b9c8
4 changed files with 68 additions and 142 deletions

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base_model: EleutherAI/gpt-j-6b
base_model_config: EleutherAI/gpt-j-6b
load_in_8bit: false
load_in_4bit: true
strict: false
push_dataset_to_hub:
datasets:
- path: teknium/GPT4-LLM-Cleaned
type: alpaca
dataset_prepared_path: last_run_prepared
val_set_size: 0.01
adapter: qlora
lora_model_dir:
sequence_len: 2048
max_packed_sequence_len:
lora_r: 8
lora_alpha: 32
lora_dropout: 0.05
lora_target_modules:
lora_target_linear: true
lora_fan_in_fan_out:
wandb_project:
wandb_watch:
wandb_run_id:
wandb_log_model:
output_dir: ./qlora-out
gradient_accumulation_steps: 2
micro_batch_size: 2
num_epochs: 2
optimizer: paged_adamw_8bit
torchdistx_path:
lr_scheduler: cosine
learning_rate: 0.0001
train_on_inputs: false
group_by_length: true
bf16: true
fp16: 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: 10
eval_steps: 20
save_steps:
debug:
deepspeed:
weight_decay: 0.1
fsdp:
fsdp_config:
special_tokens:
pad_token: "<|endoftext|>"

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base_model: huggyllama/llama-7b
base_model_config: huggyllama/llama-7b
model_type: LlamaForCausalLM
tokenizer_type: LlamaTokenizer
load_in_8bit: false
datasets:
- path: openaccess-ai-collective/jeopardy
type: jeopardy
dataset_prepared_path: last_run_prepared
val_set_size: 0.02
adapter:
lora_model_dir:
sequence_len: 512
max_packed_sequence_len:
lora_r:
lora_alpha:
lora_dropout:
lora_target_modules:
lora_fan_in_fan_out: false
wandb_project:
wandb_watch:
wandb_run_id:
wandb_log_model:
output_dir: ./jeopardy-bot-7b
gradient_accumulation_steps: 1
micro_batch_size: 1
num_epochs: 3
optimizer: adamw_bnb_8bit
torchdistx_path:
lr_scheduler: cosine
learning_rate: 0.00003
train_on_inputs: false
group_by_length: false
bf16: true
tf32: true
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 5
xformers_attention: true
flash_attention:
gptq_groupsize:
gptq_model_v1:
warmup_steps: 20
eval_steps: 110
save_steps: 660
debug:
deepspeed:
weight_decay: 0.1
fsdp:
fsdp_config:
tokens:
bos_token: "<s>"
eos_token: "</s>"
unk_token: "<unk>"