End of training

README.md

@@ -0,0 +1,71 @@
+---
+language:
+- spa
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- speaker-diarization
+- speaker-segmentation
+- generated_from_trainer
+datasets:
+- diarizers-community/callhome
+model-index:
+- name: speaker-segmentation-fine-tuned-callhome-spa
+  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. -->
+
+# speaker-segmentation-fine-tuned-callhome-spa
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the diarizers-community/callhome dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5174
+- Der: 0.1732
+- False Alarm: 0.0744
+- Missed Detection: 0.0663
+- Confusion: 0.0325
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-----------:|:----------------:|:---------:|
+| 0.6346        | 1.0   | 382  | 0.5316          | 0.1789 | 0.0670      | 0.0750           | 0.0369    |
+| 0.6117        | 2.0   | 764  | 0.5156          | 0.1724 | 0.0648      | 0.0766           | 0.0311    |
+| 0.6017        | 3.0   | 1146 | 0.5150          | 0.1747 | 0.0737      | 0.0680           | 0.0331    |
+| 0.6173        | 4.0   | 1528 | 0.5162          | 0.1737 | 0.0748      | 0.0663           | 0.0326    |
+| 0.5914        | 5.0   | 1910 | 0.5174          | 0.1732 | 0.0744      | 0.0663           | 0.0325    |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:173c8838468c9084dff1e0a2bd637719e71acdfbaa814b5fa1eacab5ab8f914d
+oid sha256:e6678d5c3317ebb1cf6217384a426f30f71fa4fb15af9d3c1fc80bdad7dc2614
 size 5899124

runs/May03_10-36-29_b3f41175bf6a/events.out.tfevents.1714732608.b3f41175bf6a.413.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4ae427cf61db5e2eaf5a8e44de845c56dab3b42040be243176eed5b905d372ad
-size 19596
+oid sha256:54b5a864a7f181670a5cffeebc02fde41ec5b43bf525ca289f5cde0b78caa2a8
+size 23601