End of training
Browse files- README.md +88 -0
- model.safetensors +1 -1
README.md
ADDED
|
@@ -0,0 +1,88 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: transformers
|
| 3 |
+
language:
|
| 4 |
+
- jpn
|
| 5 |
+
license: mit
|
| 6 |
+
base_model: pyannote/segmentation-3.0
|
| 7 |
+
tags:
|
| 8 |
+
- speaker-diarization
|
| 9 |
+
- speaker-segmentation
|
| 10 |
+
- generated_from_trainer
|
| 11 |
+
datasets:
|
| 12 |
+
- diarizers-community/synthetic-speaker-diarization-dataset
|
| 13 |
+
model-index:
|
| 14 |
+
- name: synthetic-speaker-jpn
|
| 15 |
+
results: []
|
| 16 |
+
---
|
| 17 |
+
|
| 18 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 19 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 20 |
+
|
| 21 |
+
# synthetic-speaker-jpn
|
| 22 |
+
|
| 23 |
+
This model is a fine-tuned version of [pyannote/segmentation-3.0](https://huggingface.co/pyannote/segmentation-3.0) on the diarizers-community/synthetic-speaker-diarization-dataset dataset.
|
| 24 |
+
It achieves the following results on the evaluation set:
|
| 25 |
+
- Loss: 0.3546
|
| 26 |
+
- Model Preparation Time: 0.0018
|
| 27 |
+
- Der: 0.1098
|
| 28 |
+
- False Alarm: 0.0178
|
| 29 |
+
- Missed Detection: 0.0198
|
| 30 |
+
- Confusion: 0.0722
|
| 31 |
+
|
| 32 |
+
## Model description
|
| 33 |
+
|
| 34 |
+
More information needed
|
| 35 |
+
|
| 36 |
+
## Intended uses & limitations
|
| 37 |
+
|
| 38 |
+
More information needed
|
| 39 |
+
|
| 40 |
+
## Training and evaluation data
|
| 41 |
+
|
| 42 |
+
More information needed
|
| 43 |
+
|
| 44 |
+
## Training procedure
|
| 45 |
+
|
| 46 |
+
### Training hyperparameters
|
| 47 |
+
|
| 48 |
+
The following hyperparameters were used during training:
|
| 49 |
+
- learning_rate: 0.001
|
| 50 |
+
- train_batch_size: 64
|
| 51 |
+
- eval_batch_size: 64
|
| 52 |
+
- seed: 42
|
| 53 |
+
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
| 54 |
+
- lr_scheduler_type: cosine
|
| 55 |
+
- num_epochs: 20
|
| 56 |
+
|
| 57 |
+
### Training results
|
| 58 |
+
|
| 59 |
+
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Der | False Alarm | Missed Detection | Confusion |
|
| 60 |
+
|:-------------:|:-----:|:----:|:---------------:|:----------------------:|:------:|:-----------:|:----------------:|:---------:|
|
| 61 |
+
| 0.4222 | 1.0 | 198 | 0.4012 | 0.0018 | 0.1316 | 0.0195 | 0.0240 | 0.0880 |
|
| 62 |
+
| 0.3767 | 2.0 | 396 | 0.3893 | 0.0018 | 0.1267 | 0.0176 | 0.0237 | 0.0854 |
|
| 63 |
+
| 0.3784 | 3.0 | 594 | 0.3935 | 0.0018 | 0.1233 | 0.0172 | 0.0232 | 0.0829 |
|
| 64 |
+
| 0.3596 | 4.0 | 792 | 0.3747 | 0.0018 | 0.1216 | 0.0192 | 0.0204 | 0.0820 |
|
| 65 |
+
| 0.352 | 5.0 | 990 | 0.3807 | 0.0018 | 0.1231 | 0.0184 | 0.0207 | 0.0840 |
|
| 66 |
+
| 0.3111 | 6.0 | 1188 | 0.3585 | 0.0018 | 0.1134 | 0.0183 | 0.0203 | 0.0748 |
|
| 67 |
+
| 0.3139 | 7.0 | 1386 | 0.3460 | 0.0018 | 0.1123 | 0.0181 | 0.0202 | 0.0740 |
|
| 68 |
+
| 0.3176 | 8.0 | 1584 | 0.3610 | 0.0018 | 0.1134 | 0.0184 | 0.0198 | 0.0752 |
|
| 69 |
+
| 0.3142 | 9.0 | 1782 | 0.3542 | 0.0018 | 0.1127 | 0.0172 | 0.0211 | 0.0745 |
|
| 70 |
+
| 0.2834 | 10.0 | 1980 | 0.3485 | 0.0018 | 0.1116 | 0.0178 | 0.0201 | 0.0737 |
|
| 71 |
+
| 0.2875 | 11.0 | 2178 | 0.3537 | 0.0018 | 0.1095 | 0.0174 | 0.0204 | 0.0717 |
|
| 72 |
+
| 0.2704 | 12.0 | 2376 | 0.3582 | 0.0018 | 0.1111 | 0.0177 | 0.0201 | 0.0733 |
|
| 73 |
+
| 0.2802 | 13.0 | 2574 | 0.3589 | 0.0018 | 0.1106 | 0.0177 | 0.0200 | 0.0728 |
|
| 74 |
+
| 0.2577 | 14.0 | 2772 | 0.3547 | 0.0018 | 0.1102 | 0.0180 | 0.0198 | 0.0725 |
|
| 75 |
+
| 0.261 | 15.0 | 2970 | 0.3511 | 0.0018 | 0.1086 | 0.0181 | 0.0196 | 0.0709 |
|
| 76 |
+
| 0.2647 | 16.0 | 3168 | 0.3544 | 0.0018 | 0.1096 | 0.0182 | 0.0194 | 0.0719 |
|
| 77 |
+
| 0.2554 | 17.0 | 3366 | 0.3537 | 0.0018 | 0.1093 | 0.0174 | 0.0202 | 0.0717 |
|
| 78 |
+
| 0.2624 | 18.0 | 3564 | 0.3547 | 0.0018 | 0.1095 | 0.0178 | 0.0199 | 0.0718 |
|
| 79 |
+
| 0.2667 | 19.0 | 3762 | 0.3542 | 0.0018 | 0.1098 | 0.0178 | 0.0198 | 0.0722 |
|
| 80 |
+
| 0.2613 | 20.0 | 3960 | 0.3546 | 0.0018 | 0.1098 | 0.0178 | 0.0198 | 0.0722 |
|
| 81 |
+
|
| 82 |
+
|
| 83 |
+
### Framework versions
|
| 84 |
+
|
| 85 |
+
- Transformers 4.50.3
|
| 86 |
+
- Pytorch 2.6.0+cu124
|
| 87 |
+
- Datasets 3.5.0
|
| 88 |
+
- Tokenizers 0.21.1
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5899124
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1cbe78dc11e7eb2ce277d3a113efb811f2e2a4a56aa51dfa8141e4ff60fc5422
|
| 3 |
size 5899124
|