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17_99p_300t

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17_99p_300t
File size: 37,672 Bytes 
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run_name: OLMo-99M-17values
seed: 6198
epoch: null
dry_run: false
model:
  d_model: 512
  n_heads: 8
  n_kv_heads: null
  clip_qkv: null
  n_layers: 16
  mlp_ratio: 4
  mlp_hidden_size: 2560
  activation_type: swiglu
  block_type: sequential
  block_group_size: 1
  alibi: false
  alibi_bias_max: 8.0
  rope: true
  rope_full_precision: true
  rope_theta: 10000
  flash_attention: false
  attention_dropout: 0.0
  multi_query_attention: false
  attention_layer_norm: false
  residual_dropout: 0.0
  embedding_dropout: 0.0
  embedding_layer_norm: false
  layer_norm_type: rms
  layer_norm_with_affine: true
  layer_norm_eps: 1.0e-05
  attention_layer_norm_with_affine: false
  max_sequence_length: 2048
  include_bias: false
  bias_for_layer_norm: false
  scale_logits: false
  vocab_size: 50277
  embedding_size: 50304
  weight_tying: false
  eos_token_id: 50277
  pad_token_id: 1
  init_device: meta
  init_fn: mitchell
  init_std: 0.02
  init_cutoff_factor: null
  precision: amp_bf16
  scale_emb_init: false
  emb_init_std: null
  norm_after: false
  linear_type: values17
  num_trilm_matrix_scales: 1
optimizer:
  name: adamw
  learning_rate: 0.0004
  weight_decay: 0.1
  betas:
  - 0.9
  - 0.95
  eps: 1.0e-05
  no_decay_norm_and_bias: null
  selective_updates: false
  decay_norm_and_bias: false
  decay_embeddings: false
  metrics_log_interval: 10
  record_update_metrics: false
scheduler:
  name: cosine_with_warmup
  units: steps
  t_warmup: 375
  t_max: null
  alpha_f: 0.1
  grad_clip_warmup_steps: null
  grad_clip_warmup_factor: null
  warmup_min_lr: null
  remove_weight_decay_in_second_half: false
data:
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fast_forward_batches: null
evaluators: []
eval_interval: 1000
tokenizer:
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save_folder: checkpoints/olmo-99M-17values/
remote_save_folder: null
canceled_check_interval: 50
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save_interval_unsharded: 10000
save_interval_ephemeral: null
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save_num_unsharded_checkpoints_to_keep: -1
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load_path: null
load_path_sharded_checkpointer: null
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reset_trainer_state: false
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device_train_microbatch_size: 8
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precision: amp_bf16
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speed_monitor:
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console_log_interval: 1
gen1_gc_interval: 1
compile: null
distributed_strategy: fsdp
fsdp:
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ddp: null
softmax_auxiliary_loss: false
auxiliary_loss_multiplier: 0.0001
time_limit: null
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early_stopping_factor: null
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python_profiling: false
torch_profiling: false
stop_at: null
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activation_checkpointing: null
fused_loss: null
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module_outputs_save_steps: null