Add models to dataset

css-models/notsofar/conformer0.5/mc/mc.yaml

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+train_dir: ./v1.2/100hrs/train
+val_dir: ./v1.2/100hrs/val
+out_dir: ./
+
+train_set_cfg:
+  sample_frac: 1.0
+  max_urls: null  # null means no limit
+val_set_cfg:
+  sample_frac: 1.0
+  max_urls: null  # null means no limit
+
+log_params_mlflow: True
+log_metrics_mlflow: True
+
+scheduler_step_every: [1, iterations]
+scheduler_name: step_lr
+scheduler_linear_warmup_decay_cfg:
+  warmup: 10000
+  decay: 260000
+scheduler_step_lr_cfg:
+  step_size: 1
+  gamma: 1.0  # no decay
+
+stop_after: [260000, iterations]
+eval_every: [1000, iterations]
+save_every: [1000, iterations]
+
+global_batch_size: 256
+learning_rate: 1e-5
+weight_decay: 1e-2  # according to the paper set to 1e-2
+
+# Large model per CSS with Conformer definition
+conformer_css_cfg:
+  nnet_conf:
+    conformer_conf:
+      attention_dim: 512  # default 256
+      attention_heads: 8  # default 4
+      num_blocks: 18  # default 16

css-models/notsofar/conformer0.5/mc/model_iter_0260000.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2c42c5eacb5f854de85270f70e297015e052136be3504de01d8a0af52abf348b
+size 707644139

css-models/notsofar/conformer0.5/mc_conformer_v0.5_mc_0do_masklossL1_1e-4lr/config.yaml

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+# Note there's newer and better data. Do not download v1.2
+train_dir: ./v1.2/100hrs/train
+val_dir: ./v1.2/100hrs/val
+out_dir: ./
+
+train_set_cfg:
+  sample_frac: 1.0
+  max_urls: null  # null means no limit
+val_set_cfg:
+  sample_frac: 1.0
+  max_urls: null  # null means no limit
+
+calc_side_info: True  # New!
+
+log_params_mlflow: True
+log_metrics_mlflow: True
+
+scheduler_step_every: [1, iterations]
+scheduler_name: step_lr
+scheduler_step_lr_cfg:
+  step_size: 1
+  gamma: 1.0  # no decay
+
+stop_after: [260000, iterations]
+eval_every: [1000, iterations]
+save_every: [1000, iterations]
+
+loss_name: 'mask'
+base_loss_name: 'l1'
+
+global_batch_size: 256
+learning_rate: 1e-4
+weight_decay: 1e-2  # according to the paper set to 1e-2
+
+# Large model per CSS with Conformer definition
+conformer_css_cfg:
+  nnet_conf:
+    conformer_conf:
+      attention_dim: 512  # default 256
+      attention_heads: 8  # default 4
+      num_blocks: 18  # default 16
+      dropout_rate: 0.0  # New! The default was 0.1.

css-models/notsofar/conformer0.5/mc_conformer_v0.5_mc_0do_masklossL1_1e-4lr/model_iter_0260000.pt

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+oid sha256:6a9a1f804f5d2faabdcebaa1ad360f01f3e7cfff5b3dce1cd3548a6b652d6e40
+size 707644139

css-models/notsofar/conformer0.5/sc/model_iter_0260000.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ea29623a669021816c506908d7bd3296cf54c118a38a07f41e3542cd2a0488dc
+size 698157739

css-models/notsofar/conformer0.5/sc/sc.yaml

@@ -0,0 +1,43 @@
+train_dir: ./v1.2/100hrs/train
+val_dir: ./v1.2/100hrs/val
+out_dir: ./
+
+single_channel: True
+
+train_set_cfg:
+  sample_frac: 1.0
+  max_urls: null  # null means no limit
+val_set_cfg:
+  sample_frac: 1.0
+  max_urls: null  # null means no limit
+
+log_params_mlflow: True
+log_metrics_mlflow: True
+
+scheduler_step_every: [1, iterations]
+scheduler_name: step_lr
+scheduler_linear_warmup_decay_cfg:
+  warmup: 10000
+  decay: 260000
+scheduler_step_lr_cfg:
+  step_size: 1
+  gamma: 1.0  # no decay
+
+stop_after: [260000, iterations]
+eval_every: [1000, iterations]
+save_every: [1000, iterations]
+
+global_batch_size: 256
+learning_rate: 1e-5
+weight_decay: 1e-2  # according to the paper set to 1e-2
+
+# Large model per CSS with Conformer definition
+conformer_css_cfg:
+  extractor_conf:
+    ipd_index: ''  # For MC '1,0;2,0;3,0;4,0;5,0;6,0'. For SC ''.
+  nnet_conf:
+    conformer_conf:
+      attention_dim: 512  # default 256
+      attention_heads: 8  # default 4
+      num_blocks: 18  # default 16
+    in_features: 257  # For MC 1799. For SC 257.

css-models/notsofar/conformer1.0/mc/config.yaml

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+# Note that when run on AzureML, train_dir and val_dir are relative to the input Azure Blob Storage container, and
+# out_dir is relative to the output container. When run locally, all paths are relative to the project root.
+train_dir: ./v1.5/Clean_SCN_P_3Spk_utts_100/train
+val_dir: ./v1.5/Clean_SCN_P_3Spk_utts_100/val
+out_dir: ./
+
+train_set_cfg:
+  sample_frac: 1.0
+  max_urls: null  # null means no limit
+val_set_cfg:
+  sample_frac: 1.0
+  max_urls: null  # null means no limit
+
+calc_side_info: True  # New!
+log_params_mlflow: True
+log_metrics_mlflow: True
+
+scheduler_step_every: [1, iterations]
+scheduler_name: step_lr
+scheduler_step_lr_cfg:
+  # Fixed LR
+  step_size: 1
+  gamma: 1.0
+
+stop_after: [520000, iterations]
+eval_every: [1000, iterations]
+save_every: [1000, iterations]
+
+loss_name: 'mask'
+base_loss_name: 'l1'
+
+global_batch_size: 256
+learning_rate: 1e-4
+weight_decay: 1e-2  # according to the paper set to 1e-2
+
+# Large model per CSS with Conformer definition
+conformer_css_cfg:
+  nnet_conf:
+    conformer_conf:
+      attention_dim: 512  # default 256
+      attention_heads: 8  # default 4
+      num_blocks: 18  # default 16
+      dropout_rate: 0.0  # New! The default was 0.1.

css-models/notsofar/conformer1.0/mc/model_iter_0260000.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:377d83757bf4ccf4514136010ed9a458e22776cd7ad2c5c3b3bcf5464f2788c9
+size 707644139

css-models/notsofar/conformer1.0/sc/config.yaml

@@ -0,0 +1,47 @@
+# Note that when run on AzureML, train_dir and val_dir are relative to the input Azure Blob Storage container, and
+# out_dir is relative to the output container. When run locally, all paths are relative to the project root.
+train_dir: ./v1.5/Clean_SCN_P_3Spk_utts_500/train
+val_dir: ./v1.5/Clean_SCN_P_3Spk_utts_100/val
+out_dir: ./
+
+single_channel: True
+
+train_set_cfg:
+  sample_frac: 1.0
+  max_urls: 640
+val_set_cfg:
+  sample_frac: 1.0
+  max_urls: null  # null means no limit
+
+calc_side_info: True  # New!
+log_params_mlflow: True
+log_metrics_mlflow: True
+
+scheduler_step_every: [1, iterations]
+scheduler_name: linear_warmup_decay
+scheduler_linear_warmup_decay_cfg:
+  warmup: 10000
+  decay: 520000
+
+stop_after: [520000, iterations]
+eval_every: [1000, iterations]
+save_every: [1000, iterations]
+
+loss_name: 'mask'
+base_loss_name: 'l1'
+
+global_batch_size: 256
+learning_rate: 1e-4
+weight_decay: 1e-2  # according to the paper set to 1e-2
+
+# Large model per CSS with Conformer definition
+conformer_css_cfg:
+  extractor_conf:
+    ipd_index: ''  # For MC '1,0;2,0;3,0;4,0;5,0;6,0'. For SC ''.
+  nnet_conf:
+    conformer_conf:
+      attention_dim: 512  # default 256
+      attention_heads: 8  # default 4
+      num_blocks: 18  # default 16
+      dropout_rate: 0.0  # New! The default was 0.1.
+    in_features: 257  # For MC 1799. For SC 257.

css-models/notsofar/conformer1.0/sc/model_iter_0458000.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:036c170195bc990022459522b501c011568c6870c10c1f5ed21b6139cbe00562
+size 698157867