| |
| 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 |
|
|
