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add the 70k checkpoint
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checkpoints:
checkpoint_interval: 5000
checkpoints_path: /fsx/phuc/checkpoints/doremi/big-run-02/reference-2.8b-llama-tuned-weights_with_100k_proxy
checkpoints_path_is_shared_file_system: true
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: /fsx/phuc/project_data/doremi/datasets/the_pile_raw/tokenized_data/train
hf_dataset_splits: train
text_column_name: text
num_loading_workers: 1
seed: 42
doremi:
domain_names:
- Pile-CC
- Github
- OpenWebText2
- StackExchange
- Wikipedia (en)
- PubMed Abstracts
- USPTO Backgrounds
- FreeLaw
- PubMed Central
- Enron Emails
- HackerNews
- NIH ExPorter
- Books3
- ArXiv
- DM Mathematics
- OpenSubtitles
- Gutenberg (PG-19)
- Ubuntu IRC
- BookCorpus2
- EuroParl
- YoutubeSubtitles
- PhilPapers
domain_weights:
- 0.2333
- 0.07
- 0.1154
- 0.0528
- 0.0665
- 0.067
- 0.0366
- 0.0571
- 0.0451
- 0.0036
- 0.0087
- 0.0078
- 0.0708
- 0.0656
- 0.0034
- 0.0048
- 0.0222
- 0.0084
- 0.0038
- 0.0186
- 0.0149
- 0.0235
ref_model_checkpoint_path: null
ref_model_resume_checkpoint_path: null
general:
benchmark_csv_path: null
consumed_train_samples: 35840000
ignore_sanity_checks: true
project: nanotron
run: train_tuned_2.8b_model
seed: 42
step: 70000
logging:
iteration_step_info_interval: 1
log_level: info
log_level_replica: info
model:
ddp_bucket_cap_mb: 120
dtype: bfloat16
init_method:
std: 0.025
make_vocab_size_divisible_by: 1
model_config:
bos_token_id: 1
eos_token_id: 2
hidden_act: silu
hidden_size: 4096
initializer_range: 0.02
intermediate_size: 24576
is_llama_config: true
max_position_embeddings: 1024
num_attention_heads: 32
num_hidden_layers: 6
num_key_value_heads: 16
pad_token_id: null
pretraining_tp: 1
rms_norm_eps: 1.0e-05
rope_scaling: null
tie_word_embeddings: true
use_cache: true
vocab_size: 49152
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: 8
pp: 1
pp_engine: 1f1b
recompute_granularity: SELECTIVE
tp: 8
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: 8
micro_batch_size: 64
sequence_length: 1024
train_steps: 70000
val_check_interval: -1