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ssl-aasist / fairseq /examples /data2vec /config /v2 /large_text_only_task.yaml
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# @package _group_
common:
fp16: true
log_format: json
log_interval: 200
tensorboard_logdir: tb
min_loss_scale: 1e-6
fp16_no_flatten_grads: true
user_dir: ${env:PWD}/examples/data2vec
checkpoint:
save_interval_updates: 50000
keep_interval_updates: 1
no_epoch_checkpoints: true
task:
_name: masked_lm
data: /fsx-wav2vec/abaevski/data/nlp/bookwiki_aml-full-mmap2-bin
sample_break_mode: none
tokens_per_sample: 512
include_target_tokens: true
random_token_prob: 0
leave_unmasked_prob: 0
include_index: True
skip_masking: True
d2v2_multi: True
dataset:
batch_size: 2
ignore_unused_valid_subsets: true
skip_invalid_size_inputs_valid_test: true
disable_validation: true
distributed_training:
distributed_world_size: 32
ddp_backend: c10d
criterion:
_name: model
log_keys:
- ema_decay
- target_var
- pred_var
- model_norm
- ema_norm
- masked_pct
optimization:
max_update: 600000
clip_norm: 1
optimizer:
_name: composite
dynamic_groups: true
groups:
default:
lr_float: 0.0001
optimizer:
_name: adam
adam_betas: [0.9,0.98]
adam_eps: 1e-06
weight_decay: 0.01
lr_scheduler:
_name: cosine
warmup_updates: 4000
lr_scheduler: pass_through
model:
_name: data2vec_multi
loss_beta: 0
loss_scale: 1
depth: 24
num_heads: 16
embed_dim: 1024
clone_batch: 8
ema_decay: 0.9999
ema_end_decay: 0.99999
ema_anneal_end_step: 100000
ema_encoder_only: true
average_top_k_layers: 24
layer_norm_target_layer: true
instance_norm_target_layer: false
batch_norm_target_layer: false
instance_norm_targets: true
layer_norm_targets: false
layerdrop: 0
norm_eps: 1e-5
supported_modality: TEXT
modalities:
text:
mask_prob: 0.5
mask_length: 1
mask_noise_std: 0.01
prenet_depth: 0
decoder:
input_dropout: 0.1
decoder_dim: 768
decoder_groups: 1
decoder_kernel: 9
decoder_layers: 5
decoder_residual: false
projection_layers: 2
projection_ratio: 2.0