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more sane defaults for openllama 3b used for quickstarts (#602)

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* more sane defaults for openllama 3b used for quickstarts

* don't use bf16 for quickstart to simplify gpu compatibility

* use the update openlm-research/open_llama_3b_v2 models
This commit is contained in:
Wing Lian
2023-09-19 09:15:10 -04:00
committed by GitHub
parent 1eebbd09c3
commit 674c57692d
3 changed files with 37 additions and 37 deletions
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20
examples/openllama-3b/config.yml
View File

@@ -1,5 +1,5 @@
base_model: openlm-research/open_llama_3b
base_model_config: openlm-research/open_llama_3b
base_model: openlm-research/open_llama_3b_v2
base_model_config: openlm-research/open_llama_3b_v2
model_type: LlamaForCausalLM
tokenizer_type: LlamaTokenizer
load_in_8bit: false
@@ -13,8 +13,8 @@ dataset_prepared_path: last_run_prepared
val_set_size: 0.02
adapter:
lora_model_dir:
sequence_len: 256
max_packed_sequence_len:
sequence_len: 1024
sample_packing: true
lora_r:
lora_alpha:
lora_dropout:
@@ -29,11 +29,11 @@ wandb_log_model:
output_dir: ./openllama-out
gradient_accumulation_steps: 1
micro_batch_size: 1
num_epochs: 3
num_epochs: 4
optimizer: adamw_bnb_8bit
torchdistx_path:
lr_scheduler: cosine
learning_rate: 0.00001
learning_rate: 0.000003
train_on_inputs: false
group_by_length: false
float16: true
@@ -45,12 +45,12 @@ early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention: true
flash_attention:
xformers_attention:
flash_attention: true
gptq_groupsize:
gptq_model_v1:
warmup_steps: 10
eval_steps: 50
warmup_steps: 20
eval_steps: 0.05
save_steps:
debug:
deepspeed:

24
examples/openllama-3b/lora.yml
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@@ -1,5 +1,5 @@
base_model: openlm-research/open_llama_3b
base_model_config: openlm-research/open_llama_3b
base_model: openlm-research/open_llama_3b_v2
base_model_config: openlm-research/open_llama_3b_v2
model_type: LlamaForCausalLM
tokenizer_type: LlamaTokenizer
load_in_8bit: true
@@ -13,8 +13,8 @@ dataset_prepared_path: last_run_prepared
val_set_size: 0.02
adapter: lora
lora_model_dir:
sequence_len: 256
max_packed_sequence_len:
sequence_len: 1024
sample_packing: true
lora_r: 8
lora_alpha: 16
lora_dropout: 0.0
@@ -33,9 +33,9 @@ wandb_watch:
wandb_run_id:
wandb_log_model:
output_dir: ./lora-out
batch_size: 16
micro_batch_size: 4
num_epochs: 3
gradient_accumulation_steps: 1
micro_batch_size: 2
num_epochs: 4
optimizer: adamw_bnb_8bit
torchdistx_path:
lr_scheduler: cosine
@@ -50,16 +50,16 @@ early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention: true
flash_attention:
xformers_attention:
flash_attention: true
gptq_groupsize:
gptq_model_v1:
warmup_steps: 10
eval_steps: 50
warmup_steps: 20
eval_steps: 0.05
save_steps:
debug:
deepspeed:
weight_decay: 0.0
weight_decay: 0.1
fsdp:
fsdp_config:
special_tokens:

30
examples/openllama-3b/qlora.yml
View File

@@ -1,5 +1,5 @@
base_model: openlm-research/open_llama_3b
base_model_config: openlm-research/open_llama_3b
base_model: openlm-research/open_llama_3b_v2
base_model_config: openlm-research/open_llama_3b_v2
model_type: LlamaForCausalLM
tokenizer_type: LlamaTokenizer
load_in_8bit: false
@@ -13,8 +13,8 @@ dataset_prepared_path: last_run_prepared
val_set_size: 0.01
adapter: qlora
lora_model_dir:
sequence_len: 2048
max_packed_sequence_len: 2048
sequence_len: 1024
sample_packing: true
lora_r: 8
lora_alpha: 32
lora_dropout: 0.05
@@ -27,33 +27,33 @@ wandb_watch:
wandb_run_id:
wandb_log_model:
output_dir: ./qlora-out
batch_size: 4
micro_batch_size: 4
num_epochs: 2
gradient_accumulation_steps: 1
micro_batch_size: 2
num_epochs: 4
optimizer: paged_adamw_32bit
torchdistx_path:
lr_scheduler: cosine
learning_rate: 0.0002
train_on_inputs: false
group_by_length: false
bf16: true
fp16: false
tf32: true
bf16: false
fp16: true
tf32: false
gradient_checkpointing: true
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention: true
flash_attention:
xformers_attention:
flash_attention: true
gptq_groupsize:
gptq_model_v1:
warmup_steps: 10
eval_steps: 20
warmup_steps: 20
eval_steps: 0.05
save_steps:
debug:
deepspeed:
weight_decay: 0.0
weight_decay: 0.1
fsdp:
fsdp_config:
special_tokens: