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Feat: Add Qwen (axolotl-ai-cloud#894)
* Feat: Add Qwen * feat: add qwen lora example * feat: update matrix * fix: add trust_remote_code * fix: disable gradient checkpointing * chore: add warning about gradient checkpointing * fix: config * fix: turn off sample packing for this example and reduce seq len * chore: add comment on seq len
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Original file line number | Diff line number | Diff line change |
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base_model: Qwen/Qwen-7B | ||
model_type: AutoModelForCausalLM | ||
tokenizer_type: AutoTokenizer | ||
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is_qwen_derived_model: true | ||
trust_remote_code: true | ||
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load_in_8bit: true | ||
load_in_4bit: false | ||
strict: false | ||
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datasets: | ||
- path: mhenrichsen/alpaca_2k_test | ||
type: alpaca | ||
dataset_prepared_path: | ||
val_set_size: 0.05 | ||
output_dir: ./lora-out | ||
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sequence_len: 2048 # supports up to 8192 | ||
sample_packing: false | ||
pad_to_sequence_len: | ||
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adapter: lora | ||
lora_model_dir: | ||
lora_r: 32 | ||
lora_alpha: 16 | ||
lora_dropout: 0.05 | ||
lora_target_linear: true | ||
lora_fan_in_fan_out: | ||
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wandb_project: | ||
wandb_entity: | ||
wandb_watch: | ||
wandb_run_id: | ||
wandb_log_model: | ||
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gradient_accumulation_steps: 4 | ||
micro_batch_size: 2 | ||
num_epochs: 4 | ||
optimizer: adamw_bnb_8bit | ||
lr_scheduler: cosine | ||
learning_rate: 0.0002 | ||
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train_on_inputs: false | ||
group_by_length: false | ||
bf16: true | ||
fp16: false | ||
tf32: false | ||
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gradient_checkpointing: false | ||
early_stopping_patience: | ||
resume_from_checkpoint: | ||
local_rank: | ||
logging_steps: 1 | ||
xformers_attention: | ||
flash_attention: true | ||
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warmup_steps: 10 | ||
eval_steps: 0.05 | ||
eval_table_size: | ||
eval_table_max_new_tokens: 128 | ||
save_steps: | ||
debug: | ||
deepspeed: | ||
weight_decay: 0.0 | ||
fsdp: | ||
fsdp_config: | ||
special_tokens: |
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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,68 @@ | ||
base_model: Qwen/Qwen-7B | ||
model_type: AutoModelForCausalLM | ||
tokenizer_type: AutoTokenizer | ||
|
||
is_qwen_derived_model: true | ||
trust_remote_code: true | ||
|
||
load_in_8bit: false | ||
load_in_4bit: true | ||
strict: false | ||
|
||
datasets: | ||
- path: mhenrichsen/alpaca_2k_test | ||
type: alpaca | ||
dataset_prepared_path: | ||
val_set_size: 0.05 | ||
output_dir: ./lora-out | ||
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||
sequence_len: 2048 # supports up to 8192 | ||
sample_packing: false | ||
pad_to_sequence_len: | ||
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adapter: qlora | ||
lora_model_dir: | ||
lora_r: 32 | ||
lora_alpha: 16 | ||
lora_dropout: 0.05 | ||
lora_target_linear: true | ||
lora_fan_in_fan_out: | ||
|
||
wandb_project: | ||
wandb_entity: | ||
wandb_watch: | ||
wandb_run_id: | ||
wandb_log_model: | ||
|
||
gradient_accumulation_steps: 4 | ||
micro_batch_size: 2 | ||
num_epochs: 4 | ||
optimizer: adamw_bnb_8bit | ||
lr_scheduler: cosine | ||
learning_rate: 0.0002 | ||
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||
train_on_inputs: false | ||
group_by_length: false | ||
bf16: true | ||
fp16: false | ||
tf32: false | ||
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||
gradient_checkpointing: false | ||
early_stopping_patience: | ||
resume_from_checkpoint: | ||
local_rank: | ||
logging_steps: 1 | ||
xformers_attention: | ||
flash_attention: true | ||
|
||
warmup_steps: 10 | ||
eval_steps: 0.05 | ||
eval_table_size: | ||
eval_table_max_new_tokens: 128 | ||
save_steps: | ||
debug: | ||
deepspeed: | ||
weight_decay: 0.0 | ||
fsdp: | ||
fsdp_config: | ||
special_tokens: |
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