Hervé BREDIN
commited on
Commit
•
3a5e33c
1
Parent(s):
dd586f4
initial import
Browse files- README.md +16 -0
- config.yaml +61 -0
- pytorch_model.bin +3 -0
README.md
CHANGED
@@ -1,3 +1,19 @@
|
|
1 |
---
|
|
|
|
|
|
|
|
|
2 |
license: mit
|
|
|
3 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
---
|
2 |
+
tags:
|
3 |
+
- pyannote
|
4 |
+
- pyannote-audio
|
5 |
+
- pyannote-audio-model
|
6 |
license: mit
|
7 |
+
inference: false
|
8 |
---
|
9 |
+
|
10 |
+
Dummy segmentation model used for continuous integration and unit tests.
|
11 |
+
|
12 |
+
```bash
|
13 |
+
pyannote-audio-train \
|
14 |
+
+registry="[REDACTED]/pyannote-audio/tutorials/AMI-diarization-setup/pyannote/database.yml" \
|
15 |
+
protocol=AMI.SpeakerDiarization.only_words \
|
16 |
+
model=DebugSegmentation \
|
17 |
+
task=SpeakerDiarization \
|
18 |
+
trainer.max_epochs=1
|
19 |
+
```
|
config.yaml
ADDED
@@ -0,0 +1,61 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
task:
|
2 |
+
_target_: pyannote.audio.tasks.SpeakerDiarization
|
3 |
+
duration: 5.0
|
4 |
+
max_speakers_per_chunk: 3
|
5 |
+
max_speakers_per_frame: 2
|
6 |
+
batch_size: 32
|
7 |
+
num_workers: 10
|
8 |
+
pin_memory: false
|
9 |
+
model:
|
10 |
+
_target_: pyannote.audio.models.segmentation.debug.SimpleSegmentationModel
|
11 |
+
optimizer:
|
12 |
+
_target_: torch.optim.Adam
|
13 |
+
lr: 0.001
|
14 |
+
betas:
|
15 |
+
- 0.9
|
16 |
+
- 0.999
|
17 |
+
eps: 1.0e-08
|
18 |
+
weight_decay: 0
|
19 |
+
amsgrad: false
|
20 |
+
scheduler:
|
21 |
+
_target_: pyannote.audio.cli.lr_schedulers.CosineAnnealingWarmRestarts
|
22 |
+
min_lr: 1.0e-08
|
23 |
+
max_lr: 0.001
|
24 |
+
patience: 1
|
25 |
+
trainer:
|
26 |
+
_target_: pytorch_lightning.Trainer
|
27 |
+
accelerator: auto
|
28 |
+
accumulate_grad_batches: 1
|
29 |
+
benchmark: null
|
30 |
+
deterministic: false
|
31 |
+
check_val_every_n_epoch: 1
|
32 |
+
devices: auto
|
33 |
+
detect_anomaly: false
|
34 |
+
enable_checkpointing: true
|
35 |
+
enable_model_summary: true
|
36 |
+
enable_progress_bar: true
|
37 |
+
fast_dev_run: false
|
38 |
+
gradient_clip_val: null
|
39 |
+
gradient_clip_algorithm: norm
|
40 |
+
limit_predict_batches: 1.0
|
41 |
+
limit_test_batches: 1.0
|
42 |
+
limit_train_batches: 1.0
|
43 |
+
limit_val_batches: 1.0
|
44 |
+
log_every_n_steps: 50
|
45 |
+
max_epochs: 1
|
46 |
+
max_steps: -1
|
47 |
+
max_time: null
|
48 |
+
min_epochs: 1
|
49 |
+
min_steps: null
|
50 |
+
num_nodes: 1
|
51 |
+
num_sanity_val_steps: 2
|
52 |
+
overfit_batches: 0.0
|
53 |
+
precision: 32
|
54 |
+
profiler: null
|
55 |
+
reload_dataloaders_every_n_epochs: 0
|
56 |
+
use_distributed_sampler: true
|
57 |
+
strategy: auto
|
58 |
+
sync_batchnorm: false
|
59 |
+
val_check_interval: 1.0
|
60 |
+
protocol: AMI.SpeakerDiarization.only_words
|
61 |
+
registry: REDACTED/pyannote-audio/tutorials/AMI-diarization-setup/pyannote/database.yml
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7656a3ba0cd193c2f9eb17fe2e5925c1eb680bc4d63fe4a2c92eeb2c574a7d2b
|
3 |
+
size 375564
|