shaipeerms
commited on
Commit
·
71aece7
1
Parent(s):
bb97bae
Add models to dataset
Browse files- css-models/notsofar/conformer0.5/mc/mc.yaml +38 -0
- css-models/notsofar/conformer0.5/mc/model_iter_0260000.pt +3 -0
- css-models/notsofar/conformer0.5/mc_conformer_v0.5_mc_0do_masklossL1_1e-4lr/config.yaml +42 -0
- css-models/notsofar/conformer0.5/mc_conformer_v0.5_mc_0do_masklossL1_1e-4lr/model_iter_0260000.pt +3 -0
- css-models/notsofar/conformer0.5/sc/model_iter_0260000.pt +3 -0
- css-models/notsofar/conformer0.5/sc/sc.yaml +43 -0
- css-models/notsofar/conformer1.0/mc/config.yaml +43 -0
- css-models/notsofar/conformer1.0/mc/model_iter_0260000.pt +3 -0
- css-models/notsofar/conformer1.0/sc/config.yaml +47 -0
- css-models/notsofar/conformer1.0/sc/model_iter_0458000.pt +3 -0
css-models/notsofar/conformer0.5/mc/mc.yaml
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train_dir: ./v1.2/100hrs/train
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val_dir: ./v1.2/100hrs/val
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out_dir: ./
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train_set_cfg:
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sample_frac: 1.0
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max_urls: null # null means no limit
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val_set_cfg:
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sample_frac: 1.0
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max_urls: null # null means no limit
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log_params_mlflow: True
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log_metrics_mlflow: True
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scheduler_step_every: [1, iterations]
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scheduler_name: step_lr
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scheduler_linear_warmup_decay_cfg:
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warmup: 10000
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decay: 260000
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scheduler_step_lr_cfg:
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step_size: 1
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gamma: 1.0 # no decay
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stop_after: [260000, iterations]
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eval_every: [1000, iterations]
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save_every: [1000, iterations]
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global_batch_size: 256
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learning_rate: 1e-5
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weight_decay: 1e-2 # according to the paper set to 1e-2
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# Large model per CSS with Conformer definition
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conformer_css_cfg:
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nnet_conf:
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conformer_conf:
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attention_dim: 512 # default 256
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attention_heads: 8 # default 4
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num_blocks: 18 # default 16
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css-models/notsofar/conformer0.5/mc/model_iter_0260000.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:2c42c5eacb5f854de85270f70e297015e052136be3504de01d8a0af52abf348b
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size 707644139
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css-models/notsofar/conformer0.5/mc_conformer_v0.5_mc_0do_masklossL1_1e-4lr/config.yaml
ADDED
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# Note there's newer and better data. Do not download v1.2
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train_dir: ./v1.2/100hrs/train
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val_dir: ./v1.2/100hrs/val
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out_dir: ./
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train_set_cfg:
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sample_frac: 1.0
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max_urls: null # null means no limit
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val_set_cfg:
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sample_frac: 1.0
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max_urls: null # null means no limit
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calc_side_info: True # New!
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log_params_mlflow: True
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log_metrics_mlflow: True
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scheduler_step_every: [1, iterations]
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scheduler_name: step_lr
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scheduler_step_lr_cfg:
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step_size: 1
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gamma: 1.0 # no decay
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stop_after: [260000, iterations]
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eval_every: [1000, iterations]
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save_every: [1000, iterations]
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loss_name: 'mask'
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base_loss_name: 'l1'
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global_batch_size: 256
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learning_rate: 1e-4
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weight_decay: 1e-2 # according to the paper set to 1e-2
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# Large model per CSS with Conformer definition
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conformer_css_cfg:
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nnet_conf:
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conformer_conf:
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attention_dim: 512 # default 256
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attention_heads: 8 # default 4
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num_blocks: 18 # default 16
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dropout_rate: 0.0 # New! The default was 0.1.
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css-models/notsofar/conformer0.5/mc_conformer_v0.5_mc_0do_masklossL1_1e-4lr/model_iter_0260000.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:6a9a1f804f5d2faabdcebaa1ad360f01f3e7cfff5b3dce1cd3548a6b652d6e40
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size 707644139
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css-models/notsofar/conformer0.5/sc/model_iter_0260000.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:ea29623a669021816c506908d7bd3296cf54c118a38a07f41e3542cd2a0488dc
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size 698157739
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css-models/notsofar/conformer0.5/sc/sc.yaml
ADDED
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train_dir: ./v1.2/100hrs/train
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val_dir: ./v1.2/100hrs/val
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out_dir: ./
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single_channel: True
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train_set_cfg:
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sample_frac: 1.0
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max_urls: null # null means no limit
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val_set_cfg:
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sample_frac: 1.0
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max_urls: null # null means no limit
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log_params_mlflow: True
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log_metrics_mlflow: True
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scheduler_step_every: [1, iterations]
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scheduler_name: step_lr
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scheduler_linear_warmup_decay_cfg:
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warmup: 10000
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decay: 260000
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scheduler_step_lr_cfg:
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step_size: 1
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gamma: 1.0 # no decay
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stop_after: [260000, iterations]
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eval_every: [1000, iterations]
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save_every: [1000, iterations]
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global_batch_size: 256
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learning_rate: 1e-5
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weight_decay: 1e-2 # according to the paper set to 1e-2
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# Large model per CSS with Conformer definition
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conformer_css_cfg:
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extractor_conf:
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ipd_index: '' # For MC '1,0;2,0;3,0;4,0;5,0;6,0'. For SC ''.
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nnet_conf:
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conformer_conf:
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attention_dim: 512 # default 256
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attention_heads: 8 # default 4
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num_blocks: 18 # default 16
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in_features: 257 # For MC 1799. For SC 257.
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css-models/notsofar/conformer1.0/mc/config.yaml
ADDED
@@ -0,0 +1,43 @@
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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
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# out_dir is relative to the output container. When run locally, all paths are relative to the project root.
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train_dir: ./v1.5/Clean_SCN_P_3Spk_utts_100/train
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val_dir: ./v1.5/Clean_SCN_P_3Spk_utts_100/val
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out_dir: ./
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train_set_cfg:
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sample_frac: 1.0
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max_urls: null # null means no limit
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val_set_cfg:
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sample_frac: 1.0
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+
max_urls: null # null means no limit
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calc_side_info: True # New!
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log_params_mlflow: True
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log_metrics_mlflow: True
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scheduler_step_every: [1, iterations]
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scheduler_name: step_lr
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scheduler_step_lr_cfg:
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# Fixed LR
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step_size: 1
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gamma: 1.0
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stop_after: [520000, iterations]
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eval_every: [1000, iterations]
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save_every: [1000, iterations]
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loss_name: 'mask'
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base_loss_name: 'l1'
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+
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global_batch_size: 256
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+
learning_rate: 1e-4
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+
weight_decay: 1e-2 # according to the paper set to 1e-2
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+
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+
# Large model per CSS with Conformer definition
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+
conformer_css_cfg:
|
38 |
+
nnet_conf:
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39 |
+
conformer_conf:
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40 |
+
attention_dim: 512 # default 256
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41 |
+
attention_heads: 8 # default 4
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42 |
+
num_blocks: 18 # default 16
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dropout_rate: 0.0 # New! The default was 0.1.
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css-models/notsofar/conformer1.0/mc/model_iter_0260000.pt
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:377d83757bf4ccf4514136010ed9a458e22776cd7ad2c5c3b3bcf5464f2788c9
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size 707644139
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css-models/notsofar/conformer1.0/sc/config.yaml
ADDED
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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
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# out_dir is relative to the output container. When run locally, all paths are relative to the project root.
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train_dir: ./v1.5/Clean_SCN_P_3Spk_utts_500/train
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val_dir: ./v1.5/Clean_SCN_P_3Spk_utts_100/val
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out_dir: ./
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single_channel: True
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train_set_cfg:
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sample_frac: 1.0
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max_urls: 640
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+
val_set_cfg:
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+
sample_frac: 1.0
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+
max_urls: null # null means no limit
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+
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+
calc_side_info: True # New!
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+
log_params_mlflow: True
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+
log_metrics_mlflow: True
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+
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scheduler_step_every: [1, iterations]
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scheduler_name: linear_warmup_decay
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scheduler_linear_warmup_decay_cfg:
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warmup: 10000
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decay: 520000
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stop_after: [520000, iterations]
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eval_every: [1000, iterations]
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save_every: [1000, iterations]
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+
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loss_name: 'mask'
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+
base_loss_name: 'l1'
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+
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global_batch_size: 256
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+
learning_rate: 1e-4
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35 |
+
weight_decay: 1e-2 # according to the paper set to 1e-2
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36 |
+
|
37 |
+
# Large model per CSS with Conformer definition
|
38 |
+
conformer_css_cfg:
|
39 |
+
extractor_conf:
|
40 |
+
ipd_index: '' # For MC '1,0;2,0;3,0;4,0;5,0;6,0'. For SC ''.
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41 |
+
nnet_conf:
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42 |
+
conformer_conf:
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43 |
+
attention_dim: 512 # default 256
|
44 |
+
attention_heads: 8 # default 4
|
45 |
+
num_blocks: 18 # default 16
|
46 |
+
dropout_rate: 0.0 # New! The default was 0.1.
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47 |
+
in_features: 257 # For MC 1799. For SC 257.
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css-models/notsofar/conformer1.0/sc/model_iter_0458000.pt
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:036c170195bc990022459522b501c011568c6870c10c1f5ed21b6139cbe00562
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+
size 698157867
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