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speaker-segmentation-fine-tuned-callhome-jpn
Ataullha/speaker-segmentation-fine-tuned-callhome-jpn
speaker-segmentation-fine-tuned-callhome-jpn is a machine learning model from Ataullha. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- pyannet
- Access
- Public
- Created
- May 26, 2024
- Updated
- May 26, 2024
- SHA
- 750b97c8
Base models
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
speaker-segmentation-fine-tuned-callhome-jpn
This model is a fine-tuned version of openai/whisper-small on the diarizers-community/callhome dataset. It achieves the following results on the evaluation set:
- Loss: 0.7482
- Der: 0.2201
- False Alarm: 0.0465
- Missed Detection: 0.1319
- Confusion: 0.0417
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Der | False Alarm | Missed Detection | Confusion |
|---|---|---|---|---|---|---|---|
| 0.5488 | 1.0 | 328 | 0.7565 | 0.2280 | 0.0461 | 0.1355 | 0.0465 |
| 0.475 | 2.0 | 656 | 0.7596 | 0.2220 | 0.0467 | 0.1334 | 0.0419 |
| 0.4734 | 3.0 | 984 | 0.7531 | 0.2215 | 0.0437 | 0.1364 | 0.0414 |
| 0.4535 | 4.0 | 1312 | 0.7468 | 0.2194 | 0.0462 | 0.1323 | 0.0409 |
| 0.4764 | 5.0 | 1640 | 0.7482 | 0.2201 | 0.0465 | 0.1319 | 0.0417 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Library
- transformers
- Type
- pyannet
- License
- apache-2.0
- Languages
- jpn
- Created
- May 26, 2024
- Updated
- May 26, 2024