End of training
Browse files- README.md +70 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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language:
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- spa
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tags:
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- speaker-diarization
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- speaker-segmentation
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- generated_from_trainer
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datasets:
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- pyannote/segmentation
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model-index:
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- name: segmentation-3.0
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# segmentation-3.0
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This model is a fine-tuned version of [](https://huggingface.co/) on the pyannote/segmentation dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6638
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- Der: 0.2932
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- False Alarm: 0.2540
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- Missed Detection: 0.0387
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- Confusion: 0.0004
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.001
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- train_batch_size: 64
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- eval_batch_size: 64
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Der | False Alarm | Missed Detection | Confusion |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-----------:|:----------------:|:---------:|
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| 0.3145 | 1.0 | 282 | 0.5751 | 0.2944 | 0.2487 | 0.0454 | 0.0003 |
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| 0.3087 | 2.0 | 564 | 0.5957 | 0.2912 | 0.2462 | 0.0440 | 0.0010 |
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| 0.2905 | 3.0 | 846 | 0.6614 | 0.2970 | 0.2627 | 0.0333 | 0.0010 |
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| 0.2733 | 4.0 | 1128 | 0.6626 | 0.2940 | 0.2558 | 0.0378 | 0.0004 |
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| 0.2672 | 5.0 | 1410 | 0.6638 | 0.2932 | 0.2540 | 0.0387 | 0.0004 |
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### Framework versions
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- Transformers 4.45.1
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- Pytorch 2.4.1
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- Datasets 3.0.1
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- Tokenizers 0.20.0
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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size 5899124
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version https://git-lfs.github.com/spec/v1
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size 5899124
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