End of training
Browse files- README.md +76 -0
- model.safetensors +1 -1
README.md
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---
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language:
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- spa
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license: apache-2.0
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base_model: openai/whisper-small
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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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- diarizers-community/callhome
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model-index:
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- name: mrm8488/speaker-segmentation-fine-tuned-callhome-spa-10e
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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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# mrm8488/speaker-segmentation-fine-tuned-callhome-spa-10e
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the diarizers-community/callhome dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5210
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- Der: 0.1743
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- False Alarm: 0.0765
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- Missed Detection: 0.0670
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- Confusion: 0.0308
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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: 32
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- eval_batch_size: 32
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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: 10
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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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| 0.6545 | 1.0 | 382 | 0.5338 | 0.1797 | 0.0637 | 0.0805 | 0.0355 |
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| 0.6125 | 2.0 | 764 | 0.5097 | 0.1738 | 0.0720 | 0.0692 | 0.0326 |
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| 0.6118 | 3.0 | 1146 | 0.5102 | 0.1709 | 0.0588 | 0.0799 | 0.0322 |
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| 0.6064 | 4.0 | 1528 | 0.5138 | 0.1707 | 0.0657 | 0.0754 | 0.0296 |
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| 0.572 | 5.0 | 1910 | 0.5126 | 0.1727 | 0.0709 | 0.0714 | 0.0304 |
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| 0.5671 | 6.0 | 2292 | 0.5161 | 0.1731 | 0.0771 | 0.0654 | 0.0306 |
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| 0.533 | 7.0 | 2674 | 0.5143 | 0.1732 | 0.0712 | 0.0715 | 0.0305 |
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| 0.551 | 8.0 | 3056 | 0.5207 | 0.1739 | 0.0716 | 0.0717 | 0.0307 |
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| 0.5543 | 9.0 | 3438 | 0.5199 | 0.1738 | 0.0756 | 0.0676 | 0.0306 |
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| 0.5234 | 10.0 | 3820 | 0.5210 | 0.1743 | 0.0765 | 0.0670 | 0.0308 |
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### Framework versions
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- Transformers 4.40.0
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 5899124
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version https://git-lfs.github.com/spec/v1
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oid sha256:dba5f6779e961cde2b00ce40904ff35f40613dd6afd487b8e939a381fc427bab
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size 5899124
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