Upload models.
Browse files- mimic_iv_ecg_physionet_pretrained.pt +3 -0
- mimic_iv_ecg_physionet_pretrained.yaml +153 -0
- physionet_finetuned.pt +3 -0
- physionet_finetuned.yaml +166 -0
mimic_iv_ecg_physionet_pretrained.pt
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:4d0142bcb485eb9f0c7845e0c19ff3463f6ae9d0e458eab69136efe90ceb9b7e
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size 1090825421
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mimic_iv_ecg_physionet_pretrained.yaml
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@@ -0,0 +1,153 @@
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+
_name: null
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common:
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_name: null
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no_progress_bar: false
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log_interval: 10
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log_format: csv
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log_file: null
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wandb_project: null
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wandb_entity: null
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seed: 1
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fp16: false
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memory_efficient_fp16: false
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fp16_no_flatten_grads: false
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fp16_init_scale: 128
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fp16_scale_window: null
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fp16_scale_tolerance: 0.0
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on_cpu_convert_precision: false
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min_loss_scale: 0.0001
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threshold_loss_scale: null
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empty_cache_freq: 0
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all_gather_list_size: 16384
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model_parallel_size: 1
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profile: false
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reset_logging: false
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suppress_crashes: false
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common_eval:
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_name: null
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path: null
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quiet: false
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model_overrides: '{}'
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save_outputs: false
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results_path: null
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distributed_training:
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_name: null
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distributed_world_size: 4
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distributed_rank: 0
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distributed_backend: nccl
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distributed_init_method: null
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distributed_port: 12355
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device_id: 0
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ddp_comm_hook: none
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bucket_cap_mb: 25
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fix_batches_to_gpus: false
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find_unused_parameters: false
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heartbeat_timeout: -1
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broadcast_buffers: false
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fp16: ${common.fp16}
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memory_efficient_fp16: ${common.memory_efficient_fp16}
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dataset:
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_name: null
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num_workers: 10
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skip_invalid_size_inputs_valid_test: false
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max_tokens: null
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batch_size: 64
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required_batch_size_multiple: 8
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data_buffer_size: 10
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train_subset: train
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valid_subset: valid
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combine_valid_subsets: null
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ignore_unused_valid_subsets: false
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validate_interval: 1
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validate_interval_updates: 0
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validate_after_updates: 0
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fixed_validation_seed: null
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disable_validation: false
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max_tokens_valid: ${dataset.max_tokens}
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batch_size_valid: ${dataset.batch_size}
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max_valid_steps: null
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curriculum: 0
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num_shards: 1
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shard_id: 0
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optimization:
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_name: null
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max_epoch: 200
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max_update: 0
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lr:
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- 5.0e-05
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stop_time_hours: 0.0
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clip_norm: 0.0
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update_freq:
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- 2
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stop_min_lr: -1.0
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checkpoint:
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_name: null
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save_dir: <REDACTED>
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restore_file: checkpoint_last.pt
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finetune_from_model: null
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reset_dataloader: false
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reset_lr_scheduler: false
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reset_meters: false
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reset_optimizer: false
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optimizer_overrides: '{}'
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save_interval: 10
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save_interval_updates: 0
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keep_interval_updates: -1
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keep_interval_updates_pattern: -1
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keep_last_epochs: 0
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keep_best_checkpoints: -1
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no_save: false
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no_epoch_checkpoints: false
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no_last_checkpoints: false
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no_save_optimizer_state: false
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best_checkpoint_metric: loss
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maximize_best_checkpoint_metric: false
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patience: -1
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checkpoint_suffix: ''
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checkpoint_shard_count: 1
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load_checkpoint_on_all_dp_ranks: false
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model:
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_name: wav2vec2_cmsc
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apply_mask: true
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mask_prob: 0.65
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encoder_layers: 24
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encoder_embed_dim: 1024
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encoder_ffn_embed_dim: 4096
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encoder_attention_heads: 16
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quantize_targets: true
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final_dim: 256
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dropout_input: 0.1
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dropout_features: 0.1
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feature_grad_mult: 0.1
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in_d: 12
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task:
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_name: ecg_pretraining
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data: <REDACTED>/cmsc
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perturbation_mode:
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- random_leads_masking
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p:
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- 1.0
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mask_leads_selection: random
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mask_leads_prob: 0.5
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normalize: false
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enable_padding: true
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enable_padding_leads: false
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leads_to_load: null
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criterion:
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_name: wav2vec2_with_cmsc
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infonce: true
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log_keys:
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- prob_perplexity
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- code_perplexity
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- temp
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loss_weights:
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- 0.1
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- 10
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lr_scheduler:
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_name: fixed
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warmup_updates: 0
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optimizer:
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_name: adam
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adam_betas: (0.9, 0.98)
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adam_eps: 1.0e-06
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weight_decay: 0.01
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physionet_finetuned.pt
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:96ecf96d044e735f6477a022d36d5a00f714693ee5e563faf19e47e9d319f28e
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size 1081741532
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physionet_finetuned.yaml
ADDED
@@ -0,0 +1,166 @@
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_name: null
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common:
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_name: null
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+
no_progress_bar: false
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5 |
+
log_interval: 10
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log_format: csv
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log_file: null
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wandb_project: null
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wandb_entity: null
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seed: 1
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fp16: false
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+
memory_efficient_fp16: false
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+
fp16_no_flatten_grads: false
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fp16_init_scale: 128
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fp16_scale_window: null
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fp16_scale_tolerance: 0.0
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17 |
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on_cpu_convert_precision: false
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+
min_loss_scale: 0.0001
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threshold_loss_scale: null
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empty_cache_freq: 0
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all_gather_list_size: 2048000
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model_parallel_size: 1
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profile: false
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24 |
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reset_logging: false
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25 |
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suppress_crashes: false
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26 |
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common_eval:
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27 |
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_name: null
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28 |
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path: null
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29 |
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quiet: false
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30 |
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model_overrides: '{}'
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31 |
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save_outputs: false
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32 |
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results_path: null
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33 |
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distributed_training:
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34 |
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_name: null
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35 |
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distributed_world_size: 4
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36 |
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distributed_rank: 0
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37 |
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distributed_backend: nccl
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38 |
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distributed_init_method: null
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39 |
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distributed_port: 12355
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40 |
+
device_id: 0
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41 |
+
ddp_comm_hook: none
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42 |
+
bucket_cap_mb: 25
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43 |
+
fix_batches_to_gpus: false
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44 |
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find_unused_parameters: true
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45 |
+
heartbeat_timeout: -1
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46 |
+
broadcast_buffers: false
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47 |
+
fp16: ${common.fp16}
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48 |
+
memory_efficient_fp16: ${common.memory_efficient_fp16}
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49 |
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dataset:
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50 |
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_name: null
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51 |
+
num_workers: 3
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52 |
+
skip_invalid_size_inputs_valid_test: false
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53 |
+
max_tokens: null
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54 |
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batch_size: 64
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55 |
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required_batch_size_multiple: 8
|
56 |
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data_buffer_size: 10
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57 |
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train_subset: train
|
58 |
+
valid_subset: valid
|
59 |
+
combine_valid_subsets: null
|
60 |
+
ignore_unused_valid_subsets: false
|
61 |
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validate_interval: 1
|
62 |
+
validate_interval_updates: 0
|
63 |
+
validate_after_updates: 0
|
64 |
+
fixed_validation_seed: null
|
65 |
+
disable_validation: false
|
66 |
+
max_tokens_valid: ${dataset.max_tokens}
|
67 |
+
batch_size_valid: ${dataset.batch_size}
|
68 |
+
max_valid_steps: null
|
69 |
+
curriculum: 0
|
70 |
+
num_shards: 1
|
71 |
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shard_id: 0
|
72 |
+
optimization:
|
73 |
+
_name: null
|
74 |
+
max_epoch: 50
|
75 |
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max_update: 320000
|
76 |
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lr:
|
77 |
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- 1.0e-06
|
78 |
+
stop_time_hours: 0.0
|
79 |
+
clip_norm: 0.0
|
80 |
+
update_freq:
|
81 |
+
- 1
|
82 |
+
stop_min_lr: -1.0
|
83 |
+
checkpoint:
|
84 |
+
_name: null
|
85 |
+
save_dir: <REDACTED>
|
86 |
+
restore_file: checkpoint_last.pt
|
87 |
+
finetune_from_model: null
|
88 |
+
reset_dataloader: false
|
89 |
+
reset_lr_scheduler: false
|
90 |
+
reset_meters: false
|
91 |
+
reset_optimizer: false
|
92 |
+
optimizer_overrides: '{}'
|
93 |
+
save_interval: 1
|
94 |
+
save_interval_updates: 0
|
95 |
+
keep_interval_updates: -1
|
96 |
+
keep_interval_updates_pattern: -1
|
97 |
+
keep_last_epochs: 0
|
98 |
+
keep_best_checkpoints: -1
|
99 |
+
no_save: false
|
100 |
+
no_epoch_checkpoints: false
|
101 |
+
no_last_checkpoints: false
|
102 |
+
no_save_optimizer_state: false
|
103 |
+
best_checkpoint_metric: loss
|
104 |
+
maximize_best_checkpoint_metric: false
|
105 |
+
patience: -1
|
106 |
+
checkpoint_suffix: ''
|
107 |
+
checkpoint_shard_count: 1
|
108 |
+
load_checkpoint_on_all_dp_ranks: false
|
109 |
+
model:
|
110 |
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_name: ecg_transformer_classifier
|
111 |
+
model_path: <REDACTED>
|
112 |
+
num_labels: 26
|
113 |
+
no_pretrained_weights: false
|
114 |
+
dropout: 0.0
|
115 |
+
attention_dropout: 0.0
|
116 |
+
activation_dropout: 0.1
|
117 |
+
feature_grad_mult: 0.0
|
118 |
+
freeze_finetune_updates: 0
|
119 |
+
in_d: 12
|
120 |
+
task:
|
121 |
+
_name: ecg_classification
|
122 |
+
data: <REDACTED>
|
123 |
+
normalize: false
|
124 |
+
enable_padding: true
|
125 |
+
enable_padding_leads: false
|
126 |
+
leads_to_load: null
|
127 |
+
label_file: <REDACTED>
|
128 |
+
criterion:
|
129 |
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_name: binary_cross_entropy_with_logits
|
130 |
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report_auc: true
|
131 |
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report_cinc_score: false
|
132 |
+
weights_file: ???
|
133 |
+
pos_weight:
|
134 |
+
- 15.390331
|
135 |
+
- 9.366471
|
136 |
+
- 178.694517
|
137 |
+
- 307.623318
|
138 |
+
- 58.330172
|
139 |
+
- 16.724182
|
140 |
+
- 23.509615
|
141 |
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- 45.128016
|
142 |
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- 10.223581
|
143 |
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- 38.081772
|
144 |
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- 223.179153
|
145 |
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- 53.063629
|
146 |
+
- 43.894325
|
147 |
+
- 48.763557
|
148 |
+
- 1.994518
|
149 |
+
- 25.936595
|
150 |
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- 58.587013
|
151 |
+
- 143.283019
|
152 |
+
- 44.729568
|
153 |
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- 40.310324
|
154 |
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- 68.729483
|
155 |
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- 23.999274
|
156 |
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- 3.564768
|
157 |
+
- 8.647183
|
158 |
+
- 6.384442
|
159 |
+
- 20.731291
|
160 |
+
lr_scheduler:
|
161 |
+
_name: fixed
|
162 |
+
warmup_updates: 0
|
163 |
+
optimizer:
|
164 |
+
_name: adam
|
165 |
+
adam_betas: (0.9, 0.98)
|
166 |
+
adam_eps: 1.0e-08
|