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# @package _group_
common:
  fp16: true
  log_format: json
  log_interval: 200
  tensorboard_logdir: tb

checkpoint:
  no_epoch_checkpoints: true
  save_interval_updates: 50000
  keep_interval_updates: 1

distributed_training:
  distributed_world_size: 16
  ddp_backend: legacy_ddp

task:
  _name: masked_lm
  data: ???
  sample_break_mode: complete_doc
  tokens_per_sample: 512
  include_target_tokens: true
  random_token_prob: 0
  leave_unmasked_prob: 0
  mask_prob: 0.35
  mask_multiple_length: 4

criterion: model

dataset:
  max_tokens: 8192
  ignore_unused_valid_subsets: true
  skip_invalid_size_inputs_valid_test: true

optimizer:
  _name: adam
  weight_decay: 0.01
  adam_betas: (0.9,0.98)
  adam_eps: 1e-06

lr_scheduler:
  _name: cosine
  warmup_updates: 10000

optimization:
  clip_norm: 5
  lr: [0.0002]
  max_update: 1000000
  update_freq: [1]

model:
  _name: data2vec_text
  head_layers: 2
  average_top_k_layers: 10
  layer_norm_target_layer: true
  loss_scale: 1
  ema_decay: 0.999
  ema_end_decay: 0.9999
  ema_anneal_end_step: 300000
  loss_beta: 4
  ema_transformer_layers_only: true
  
  transformer:
    dropout: 0.1
    attention_dropout: 0.1
    layernorm_embedding: true
    activation_fn: gelu
    no_scale_embedding: true
    max_source_positions: 512
    encoder:
      embed_dim: 768
      ffn_embed_dim: 3072
      layers: 12
      attention_heads: 12
      normalize_before: false
      learned_pos: true
      layerdrop: 0