End of training

README.md

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+---
+license: mit
+base_model: pyannote/segmentation-3.0
+tags:
+- speaker-diarization
+- speaker-segmentation
+- generated_from_trainer
+datasets:
+- ArtFair/diarizers_dataset_70-15-15
+model-index:
+- name: results
+  results: []
+---
+
+<!-- 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. -->
+
+# results
+
+This model is a fine-tuned version of [pyannote/segmentation-3.0](https://huggingface.co/pyannote/segmentation-3.0) on the ArtFair/diarizers_dataset_70-15-15 default dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3941
+- Der: 0.2887
+- False Alarm: 0.1590
+- Missed Detection: 0.1025
+- Confusion: 0.0272
+
+## 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: 5.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Der    | False Alarm | Missed Detection | Confusion |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-----------:|:----------------:|:---------:|
+| 0.4009        | 1.0   | 747  | 0.4264          | 0.3191 | 0.1921      | 0.0979           | 0.0291    |
+| 0.3626        | 2.0   | 1494 | 0.4017          | 0.3027 | 0.1664      | 0.1085           | 0.0278    |
+| 0.3527        | 3.0   | 2241 | 0.4077          | 0.2972 | 0.1354      | 0.1347           | 0.0271    |
+| 0.3303        | 4.0   | 2988 | 0.3933          | 0.2867 | 0.1506      | 0.1083           | 0.0277    |
+| 0.3312        | 5.0   | 3735 | 0.3941          | 0.2887 | 0.1590      | 0.1025           | 0.0272    |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.4.1+cu121
+- Datasets 2.17.0
+- Tokenizers 0.15.2

runs/Sep20_06-30-26_ip-172-31-27-176.us-west-2.compute.internal/events.out.tfevents.1726814131.ip-172-31-27-176.us-west-2.compute.internal.13049.0

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