mistral-nanotron / config_tiny_mistral.yaml
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checkpoints:
checkpoint_interval: 10
checkpoints_path: /fsx/thomwolf/github/textbooks-proj/brrr/models/checkpoints
checkpoints_path_is_shared_file_system: false
resume_checkpoint_path: null
save_initial_state: false
data:
dataset:
dataset_overwrite_cache: false
dataset_processing_num_proc_per_process: 1
hf_dataset_config_name: null
hf_dataset_or_datasets: HuggingFaceH4/testing_alpaca_small
hf_dataset_splits: train
text_column_name: completion
num_loading_workers: 1
seed: 42
general:
benchmark_csv_path: null
consumed_train_samples: null
ignore_sanity_checks: false
project: debug
run: tiny_mistral
seed: 42
step: null
logging:
iteration_step_info_interval: 1
log_level: info
log_level_replica: info
model:
ddp_bucket_cap_mb: 25
dtype: bfloat16
init_method:
std: 0.025
make_vocab_size_divisible_by: 1
model_config:
attn_pdrop: 0.0
bos_token_id: 1
eos_token_id: 2
hidden_act: silu
hidden_size: 16
initializer_range: 0.02
intermediate_size: 64
is_mistral_config: true
max_position_embeddings: 256
num_attention_heads: 4
num_hidden_layers: 2
num_key_value_heads: 4
pad_token_id: null
pretraining_tp: 1
rms_norm_eps: 1.0e-05
rope_theta: 10000.0
sliding_window_size: 4096
tie_word_embeddings: true
use_cache: true
vocab_size: 256
optimizer:
accumulate_grad_in_fp32: true
adam_beta1: 0.9
adam_beta2: 0.95
adam_eps: 1.0e-08
clip_grad: 1.0
learning_rate_scheduler:
learning_rate: 0.0003
lr_decay_steps: 8
lr_decay_style: cosine
lr_warmup_steps: 2
lr_warmup_style: linear
min_decay_lr: 1.0e-05
torch_adam_is_fused: true
weight_decay: 0.01
zero_stage: 0
parallelism:
dp: 2
pp: 2
pp_engine: 1f1b
recompute_granularity: SELECTIVE
tp: 2
tp_linear_async_communication: true
tp_mode: REDUCE_SCATTER
profiler: null
tokenizer:
tokenizer_max_length: null
tokenizer_name_or_path: gpt2
tokenizer_revision: null
tokens:
batch_accumulation_per_replica: 1
limit_test_batches: 0
limit_val_batches: 0
micro_batch_size: 2
sequence_length: 32
train_steps: 10
val_check_interval: -1