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feat(lora): Adapted the end-to-end test for lora training.
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tests/fine_tuning/test_configs/config_lorem_ipsum_lora_training_test.yaml
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settings: | ||
experiment_id: ${modalities_env:experiment_id} | ||
referencing_keys: | ||
sample_key: input_ids | ||
target_key: target_ids | ||
training: | ||
training_log_interval_in_steps: 1 | ||
checkpointing_interval_in_steps: 15 | ||
evaluation_interval_in_steps: 1 | ||
global_num_seen_tokens: 0 | ||
do_apply_activation_checkpointing: false | ||
gradient_acc_steps: 1 | ||
local_train_micro_batch_size: 1 | ||
sequence_length: 256 | ||
cuda_env: | ||
local_rank: ${cuda_env:LOCAL_RANK} | ||
global_rank: ${cuda_env:RANK} | ||
world_size: ${cuda_env:WORLD_SIZE} | ||
paths: | ||
checkpointing_path: /tmp/pytest-of-alex-jude/pytest-96 | ||
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collate_fn: | ||
component_key: collate_fn | ||
variant_key: gpt_2_llm_collator | ||
config: | ||
sample_key: ${settings.referencing_keys.sample_key} | ||
target_key: ${settings.referencing_keys.target_key} | ||
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train_dataset: | ||
component_key: dataset | ||
variant_key: packed_mem_map_dataset_continuous | ||
config: | ||
raw_data_path: tests/end2end_tests/lorem_ipsum.pbin | ||
sequence_length: ${settings.training.sequence_length} | ||
sample_key: ${settings.referencing_keys.sample_key} | ||
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train_dataloader: | ||
component_key: data_loader | ||
variant_key: default | ||
config: | ||
num_workers: 2 | ||
pin_memory: true | ||
shuffle: false | ||
dataloader_tag: "train" | ||
skip_num_batches: | ||
component_key: number_conversion | ||
variant_key: local_num_batches_from_num_tokens | ||
config: | ||
num_ranks: ${settings.cuda_env.world_size} | ||
global_num_tokens: ${settings.training.global_num_seen_tokens} | ||
sequence_length: ${settings.training.sequence_length} | ||
local_micro_batch_size: ${settings.training.local_train_micro_batch_size} | ||
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dataset: | ||
instance_key: train_dataset | ||
pass_type: BY_REFERENCE | ||
batch_sampler: | ||
component_key: batch_sampler | ||
variant_key: default | ||
config: | ||
batch_size: ${settings.training.local_train_micro_batch_size} | ||
drop_last: true | ||
sampler: | ||
component_key: sampler | ||
variant_key: distributed_sampler | ||
config: | ||
rank: ${settings.cuda_env.global_rank} | ||
num_replicas: ${settings.cuda_env.world_size} | ||
shuffle: true | ||
dataset: | ||
instance_key: train_dataset | ||
pass_type: BY_REFERENCE | ||
collate_fn: | ||
instance_key: collate_fn | ||
pass_type: BY_REFERENCE | ||
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eval_dataloaders: [] | ||
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checkpoint_saving: | ||
component_key: checkpoint_saving | ||
variant_key: default | ||
config: | ||
checkpoint_saving_strategy: | ||
component_key: checkpoint_saving_strategy | ||
variant_key: save_k_most_recent_checkpoints_strategy | ||
config: | ||
k: -1 # -1 to save all checkpoints | ||
checkpoint_saving_execution: | ||
component_key: checkpoint_saving_execution | ||
variant_key: fsdp | ||
config: | ||
checkpoint_path: ${settings.paths.checkpointing_path} # TODO <replaced_in_test> | ||
global_rank: ${settings.cuda_env.global_rank} | ||
experiment_id: ${settings.experiment_id} | ||
get_num_tokens_from_num_steps_callable: | ||
component_key: number_conversion | ||
variant_key: num_tokens_from_num_steps_callable | ||
config: | ||
num_ranks: ${settings.cuda_env.world_size} | ||
local_micro_batch_size: ${settings.training.local_train_micro_batch_size} | ||
sequence_length: ${settings.training.sequence_length} | ||
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# resolving class types via different enums sucks... | ||
loss_fn: | ||
component_key: loss | ||
variant_key: clm_cross_entropy_loss | ||
config: | ||
target_key: target_ids | ||
prediction_key: logits | ||
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lora_model: | ||
component_key: model | ||
variant_key: lora | ||
config: | ||
alpha: 1 | ||
r: 2 | ||
target_layers: | ||
- q_attn | ||
- k_attn | ||
- v_attn | ||
- c_proj | ||
model: | ||
instance_key: model | ||
pass_type: BY_REFERENCE | ||
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wrapped_model: | ||
component_key: model | ||
variant_key: fsdp_wrapped | ||
config: | ||
model: | ||
instance_key: lora_model | ||
pass_type: BY_REFERENCE | ||
sync_module_states: true | ||
mixed_precision_settings: BF_16 | ||
sharding_strategy: FULL_SHARD | ||
block_names: [GPT2Block] | ||
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model: | ||
component_key: model | ||
variant_key: model_initialized | ||
config: | ||
model: | ||
instance_key: model_raw | ||
pass_type: BY_REFERENCE | ||
model_initializer: | ||
component_key: model_initialization | ||
variant_key: composed | ||
config: | ||
model_type: gpt2 | ||
weight_init_type: scaled | ||
mean: 0.0 | ||
std: 0.02 | ||
num_layers: ${model_raw.config.n_layer} | ||
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model_raw: | ||
component_key: model | ||
variant_key: gpt2 | ||
config: | ||
sample_key: ${settings.referencing_keys.sample_key} | ||
poe_type: NOPE | ||
sequence_length: ${settings.training.sequence_length} | ||
prediction_key: ${loss_fn.config.prediction_key} | ||
vocab_size: 50304 # GPT-2 vocab_size of 50257, padded up to nearest multiple of 64 for efficiency | ||
n_layer: 2 | ||
n_head_q: 8 | ||
n_head_kv: 8 | ||
ffn_hidden: 128 | ||
n_embd: 128 | ||
dropout: 0.0 | ||
bias: true # True: bias in Linears and LayerNorms, like GPT-2. False: a bit better and faster | ||
attention_config: | ||
qkv_transforms: | ||
- type_hint: RotaryTransform | ||
config: | ||
n_embd: ${model_raw.config.n_embd} | ||
n_head: ${model_raw.config.n_head_q} #it has to be head_q here | ||
seq_length_dim: -2 | ||
attention_implementation: manual | ||
activation_type: gelu | ||
attention_norm: | ||
component_key: layer_norm | ||
variant_key: rms_norm | ||
config: | ||
ndim: ${model_raw.config.n_embd} | ||
bias: true | ||
epsilon: 1e-5 | ||
ffn_norm: | ||
component_key: layer_norm | ||
variant_key: rms_norm | ||
config: | ||
ndim: ${model_raw.config.n_embd} | ||
bias: true | ||
epsilon: 1e-5 | ||
lm_head_norm: | ||
component_key: layer_norm | ||
variant_key: rms_norm | ||
config: | ||
ndim: ${model_raw.config.n_embd} | ||
bias: true | ||
epsilon: 1e-5 | ||
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scheduler: | ||
component_key: scheduler | ||
variant_key: dummy_lr | ||
config: | ||
optimizer: | ||
instance_key: optimizer | ||
pass_type: BY_REFERENCE | ||
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optimizer: | ||
component_key: optimizer | ||
variant_key: adam_w | ||
config: | ||
lr: 0.0001 | ||
betas: [0.9, 0.95] | ||
eps: 1e-8 | ||
weight_decay: 1e-1 | ||
weight_decay_groups_excluded: ["embedding", "layernorm"] | ||
wrapped_model: | ||
instance_key: wrapped_model | ||
pass_type: BY_REFERENCE | ||
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gradient_clipper: | ||
component_key: gradient_clipper | ||
variant_key: fsdp | ||
config: | ||
wrapped_model: | ||
instance_key: wrapped_model | ||
pass_type: BY_REFERENCE | ||
norm_type: P2_NORM | ||
max_norm: 1.0 | ||
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batch_progress_subscriber: | ||
component_key: progress_subscriber | ||
variant_key: rich | ||
config: | ||
global_rank: ${settings.cuda_env.global_rank} | ||
global_num_seen_steps: | ||
component_key: number_conversion | ||
variant_key: num_steps_from_num_tokens | ||
config: | ||
num_ranks: ${settings.cuda_env.world_size} | ||
local_micro_batch_size: ${settings.training.local_train_micro_batch_size} | ||
global_num_tokens: ${settings.training.global_num_seen_tokens} | ||
sequence_length: ${settings.training.sequence_length} | ||
gradient_acc_steps: ${settings.training.gradient_acc_steps} | ||
train_dataloader: | ||
instance_key: train_dataloader | ||
pass_type: BY_REFERENCE | ||
eval_dataloaders: [] | ||
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evaluation_subscriber: | ||
component_key: results_subscriber | ||
variant_key: dummy | ||
config: {} |
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